SlideShare ist ein Scribd-Unternehmen logo
1 von 35
Downloaden Sie, um offline zu lesen
UMTS Link Budget Methodology
Sylvestre Demonget
Wireless BG / W-CDMA BD /
Post-Sales Support & Technology Introduction / W-CDMA Network Engineering
April 2nd, 2007
2 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Agenda
1. Uplink Link Budget Methodology
2. Downlink Link Budget Methodology
3. Capacity and Throughput Calculation Basics
3 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Introduction
UMTS Link Budget methodology:
Uplink: Cell Range derivation based on a specific UL dimensioning service
Downlink:
Calculation for each DL service of transmit power necessary to reach cell edge
Comparison with maximum allowed power for this DL service
Aspects covered in this presentation:
Link budget methodology (UL and DL) applicable to both Release 99 and HSPA
Cell Range comparisons for multiple:
R’99 UL services
HSUPA user throughput targets
UL and DL Capacity calculation using analytic formulas
HSPA Throughput computation using static simulation:
Throughput map
Throughput Vs. Distance from Site
4 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Agenda
1. Uplink Link Budget Methodology
2. Downlink Link Budget Methodology
3. Capacity and Throughput Calculation Basics
5 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
1
UMTS Uplink Link Budget
Methodology, Cell Range Comparisons
6 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (1/8)
MAPL Calculation (1/3: R’99)
MAPLMAPL Calculation (Release 99)Calculation (Release 99)
Aim: used to derive Cell Range
Depends on:
• UL dimensioning service i (usually CS64)
• Propagation environment
• UE and Node-B performances
• Shadowing Margin, Fast Fading Margin, UL Interference Margin
MarginceInterferenULMarginFadingFastMarginShadowing
LossCablesGainAntBTSLossnPenetratioLossBody
iySensitivitNodeBPowerTxMaxUEiMAPL
−−−
−+−−
−=
.
)(.)(
UEMax.
TxPower
Body
Loss BTS
Antenna
Gain
Penetration
Loss
Node-BSensitivity
(dependsonULservicei)
Max. Allowable air
interface Path Loss
(MAPL)
Max. Allowable air
interface Path Loss
(MAPL)
Shadowing
Margin
Uplink Interference
Margin
Cables
Loss
Fast Fading
Margin
7 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (2/8)
MAPL Calculation (2/3: Impact of HSDPA)
MAPLMAPL Calculation (Impact of HSDPA)Calculation (Impact of HSDPA)
Mandatory channels for data transfer on HSDPA:
Presence of HS-DPCCH impacts MAPL:
UE transferring on HSDPA must feed back CQI
and ACK/NACK to Node-B on HS-DPCCH
UE available Tx power for
dimensioning UL service i diminishes
MAPL diminishes








++
+
=
∆
222
22
0
log10
hsdc
dc
Target
b
N
E
UL
βββ
ββ
Handled in the UL link
budget as an increase in
UL Eb/N0 Target (Vs. w/o
HS-DPCCH case):
8 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (2/8)
MAPL Calculation (3/3: HSUPA)
MAPLMAPL Calculation (HSUPA)Calculation (HSUPA)
Cell Range definition:
R’99: Cell Range derived assuming a specific UL R’99 dimensioning service i
HSUPA: Cell Range may be derived assuming either:
– a specific UL R’99 dimensioning service i
– a specific E-DCH user throughput at cell edge r
HSUPA Ec/N0 according to E-DCH user throughput at cell edge r:
)()(
0
i
N
E
NoiseThermalNodeBiySensitivitNodeB
Target
c+=
1. For several E-TFCs, E-DPDCHs Ec/N0 is
given by L1 curves:
E-DPDCHs Ec/N0
E-DCH
UserThroughput
2. For each E-TFC, HSUPA Ec/N0 is derived
from E-DPDCHs Ec/N0 :
3. Criterion for choice of E-TFC:
E-TFC giving best Ec/N0
E-TFC giving best BLER 1Tx
0
2
22222
0
N
E
DPDCHsE
n
n
N
E
HSUPA
c
eded
hscdeceded
Target
c
×
⋅
++++⋅
=
β
βββββ
r
or
9 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (3/8)
Shadowing Margin
Shadowing MarginShadowing Margin
Aim: Compensation of Shadowing, i.e. variation in signal strength due to obstacles
modeled by a Log-Normal law, for mobiles close to cell edge.
Value computed so that UL service i can be statistically offered within AR% of cell
area (AR: Area Reliability).
Calculation Method:
1. Assumption on Log-Normal law Stand. Dev. :
2. Jakes Formula for Soft Handover with 2 servers (R’99)
Inputs: σShad, AR, Attenuation Exponent, Correlation coeff. between Shadowing of the 2 legs
HSUPA-specific: Jakes Formula for 2 servers without SHO
(SHO not supported in Alcatel-Lucent UA5.0 Release)
22
nPenetratioIndoorOutdoorShadShad σσσ +=
UEMax.
TxPower
Body
Loss BTS
Antenna
Gain
Penetration
Loss
Node-BSensitivity
(dependsonULservicei)
Max. Allowable air
interface Path Loss
(MAPL)
Shadowing
Margin
Shadowing
Margin
Uplink Interference
Margin
Cables
Loss
Fast Fading
Margin
10 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (4/8)
Fast Fading Margin
Fast Fading MarginFast Fading Margin
Aim: Compensation of Fast Fading, i.e. variation in signal strength due to
multi-path Rayleigh channel profile, for a mobile close to cell edge.
Value computed so that a mobile at cell edge can do efficient Power Control,
i.e. combat the Fast Fading.
Calculation Method:
Currently, same calculation method for R’99 and HSUPA
UEMax.
TxPower
Body
Loss BTS
Antenna
Gain
Penetration
Loss
Node-BSensitivity
(dependsonULservicei)
Max. Allowable air
interface Path Loss
(MAPL)
Shadowing
Margin
Uplink Interference
Margin
Cables
Loss
Fast Fading
Margin
Fast Fading
Margin
( ) ( )OnTPC
N
E
ULOffTPC
N
E
ULMarginFadingFast
Target
b
Target
b =−==
00
11 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (5/8)
Uplink Interference Margin (1/2)
Uplink Interference MarginUplink Interference Margin
Aim: Compensation of interference generated by other mobiles on the uplink.
Value computed for each UL service i so that i transmitted by a mobile can be
received at Node-B with sufficient SINR even at maximum UL Cell Load.
Calculation Method: )()(. iRiseNoiseULUserRiseNoiseULTotaliMarginInterfUL −=






−
=
∆
LoadCellULNoiseThermalBTS
ceInterferenULTotal
1
1
NoiseThermalBTS
PowerRxUser
( )[ ]).(.)(1log10)(. iPRxUserInterfULTotaliPowerRxUserNRULTotaliMarginInterfUL dBdB −+−=






+−= )(1log10)(
0
i
N
E
RiseNoiseULTotaliMarginceInterferenUL
Target
c
dBdB
UEMax.
TxPower
Body
Loss BTS
Antenna
Gain
Penetration
Loss
Node-BSensitivity
(dependsonULservicei)
Max. Allowable air
interface Path Loss
(MAPL)
Shadowing
Margin
Uplink Interference
Margin
Uplink Interference
Margin
Cables
Loss
Fast Fading
Margin
12 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (6/8)
Uplink Interference Margin (2/2)
Reminder:
Total UL Noise Rise value setting in the link budget:
Set to the maximum allowed value: Max. UL Noise Rise
Set according to an iterative process:
Functional point between {Cell Range = UL Link Budget( Total UL NR )} and
{Total UL NR = Traffic ModelTraffic Model( Cell Range )}
Total UL Noise Rise<Max. UL Noise Rise must be true
Max. UL Noise Rise is set by below UTRAN parameters:
Limit applied on R’99 traffic only: rtwpMaxCellLoadNonEdch
(Default in UA5.0: 50%)
Limit applied on total UL traffic (R’99+HSUPA): totalRotMax
(Default in UA5.0: 6dB)
•Number of subscribers per km2
•Call Profile
•Grade of Service (GoS) for each UL service






+−= )(1log10)(
0
i
N
E
RiseNoiseULTotaliMarginceInterferenUL
Target
c
dBdB
or
13 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (7/8)
Cell Range Calculation
Cell RangeCell Range Calculation basing onCalculation basing on MAPLMAPL
Relationship Cell Range ↔ MAPL:
2100 MHz: COST-Hata propagation model
900 MHz: Okumura-Hata propagation model
Site Coverage for 3-sector case (surface covered by 1 Node-B):
]dB[.])m[log(])m[.log(55.69.44(
][..])m[.log(82.13])MHz[log(9.333.46]dB[
FactorCorrtEnvironmenkdHeightAntBTS
dBFactorCorrHeightAntUEHeightAntBTSfLossPath
+⋅−+
−−+=
]dB[.])m[log(])m[.log(55.69.44(
][..])m[.log(82.13])MHz[log(16.2655.69]dB[
FactorCorrtEnvironmenkdHeightAntBTS
dBFactorCorrHeightAntUEHeightAntBTSfLossPath
+⋅−+
−−+=
UEMax.
TxPower
Body
Loss BTS
Antenna
Gain
Penetration
Loss
Node-BSensitivity
(dependsonULservicei)
Max. Allowable air
interface Path Loss
(MAPL)
Max. Allowable air
interface Path Loss
(MAPL)
Shadowing
Margin
Uplink Interference
Margin
Cables
Loss
Fast Fading
Margin
22
3 ]km[
8
39]km[ RangeCellCoverageSite Sectors ×=
14 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Uplink Link Budget Methodology (8/8)
Tower Mounted Amplifier (TMA) Benefits and Drawbacks
TMA Aim: Reduce the impact of Cables Loss in the UL ⇒ increase Cell Range
TMA handling in Alcatel-Lucent link budget:
UL:
Cables Loss = 0.4dB (jumper before TMA),
Friis Formula for the Noise Figure of {TMA, cables after TMA, BTS}
DL: +0.8dB on Cables Loss compared to without TMA case
(1 additional jumper + TMA insertion loss)
BTS
Antenna
Gain
Cables Loss
Without TMA
Node-B
Sensitivity
BTS
Antenna
Gain
Cables Loss
with TMA
With TMA
Node-B
Sensitivity
TMA impact
on the UL:
Simplified
vision
15 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Cell Range Comparisons (1/2)
Dense Urban Environment
Main Assumptions:
Channel Profile = “Pedestrian A 3km/h”
HS-DPCCH impact included in UL R’99 services Eb/N0
E-TFC chosen according to best Ec/N0 criterion
Penetration Loss = 18dB, Hata Env. Corr. Factor = 0dB, TMA = On
UE Max. Tx Power = 21dBm for all services (conservative)
0.2
0.3
0.4
0.5
0.6
0.7
0 1 2 3 4 5 6 7 8 9
Max. UL Noise Rise [dB]
CellRange[km]
DCH 128
E-DCH 128
DCH 384
E-DCH 384
E-DCH 1024
16 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Cell Range Comparisons (2/2)
Suburban Environment
Main Assumptions:
Channel Profile = “Pedestrian A 50km/h”
HS-DPCCH impact included in UL R’99 services Eb/N0
E-TFC chosen according to best Ec/N0 criterion
Penetration Loss=10dB, Hata Env. Corr. Factor = -12dB, TMA = On
UE Max. Tx Power = 21dBm for all services (conservative)
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
2.3
0 1 2 3 4 5 6 7 8 9
Max. UL Noise Rise [dB]
CellRange[km]
DCH 128
E-DCH 128
DCH 384
E-DCH 384
E-DCH 1024
17 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Agenda
1. Uplink Link Budget Methodology
2. Downlink Link Budget Methodology
3. Capacity and Throughput Calculation Basics
18 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
2
UMTS Downlink Link Budget
Methodology, Impact of HSUPA DL channels
19 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Downlink Link Budget Methodology (1/3)
Downlink Maximum Air Path Loss Calculation
Downlink Maximum Air Path LossDownlink Maximum Air Path Loss
DL air interface path loss at the cell edge,
i.e. for Cell Range derived from UL link budget
Aim: used to derive Downlink Maximum Total Path Loss
Calculation Method: COST-Hata-1( Cell Range, DL f )
≡ MAPL + Frequency Shift( DL f – UL f )
Depends on:
R’99: UL R’99 dimensioning service i
HSUPA: i or specific E-DCH user throughput at cell edge r
BTS Ant. Gain DL Max. Total
Path LossCables Loss
DL Max. Air
Path Loss
DL Max. Air
Path Loss
Penetration
Loss
Shadowing
Margin Fast Fading
Margin
RequiredDL
UserTxPower
(dependson
DLservicej) Body Loss
UESensitivity
(dependsonDLservicej)
20 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Downlink Link Budget Methodology (2/3)
Downlink Maximum Total Path Loss Calculation
Downlink Maximum Total Path LossDownlink Maximum Total Path Loss
DL total path loss at the cell edge, from BTS PA to UE
Aim: used to derive Required DL User Tx Power, HSDPA throughput…
Calculation Method:
Remark: DL Max. Total PL does not take into account any DL interference margin.
Indeed, DL interferences are directly taken into account in
the following formula giving Required DL User Tx Power.
BTS Ant. Gain
DL Max. Total
Path Loss
DL Max. Total
Path LossCables Loss
DL Max. Air
Path Loss
Penetration
Loss
Shadowing
Margin Fast Fading
Margin
RequiredDL
UserTxPower
(dependson
DLservicej) Body Loss
UESensitivity
(dependsonDLservicej)
MarginFadingFastMarginShadowing
LossBodyLossPeneGainAntBTSLossCable
PLAirMaxDLPLTotalMaxDL
++
++−+
=
..
..
21 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Downlink Link Budget Methodology (3/3)
Required Downlink User Tx Power
Required Downlink UserRequired Downlink User TxTx PowerPower
Required transmit power at BTS PA so that DL R’99 service j can be received with
sufficient SINR by a mobile at cell edge.
Allows to know if DL coverage can be assured at cell edge for service j,
by comparing with maxDlTxPower(j), i.e. max. power allowable for j per user.
Calculation Method:
BTS Ant. Gain
DL Max. Total
Path LossCables Loss
DL Max. Air
Path Loss
Penetration
Loss
Shadowing
Margin Fast Fading
Margin
RequiredDL
UserTxPower
RequiredDL
UserTxPower
(dependson
DLservicej) Body Loss
UESensitivity
(dependsonDLservicej)
1
0
)(
..)(
)(. −






+
×+×+
=
j
N
E
DLOF
PLTotalMaxDLNoiseThUEPAOF
Ii
Ie
DL
jPowerTxUserDLReq
Target
c
edgecell
Ii : Intra-cell interference
(before despreading, includes own signal)
OVSF Codes
Orthogonality Factor
(depends on channel
profile)
Ie : Extra-cell interference
22 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Power Available for HSDPA (1/2)
Computation Method in UA5.0 Release, for Shared Carrier scenario
Power Available for HSDPAPower Available for HSDPA (HS-DSCH+HS-SCCH, all HSDPA users in cell)
Computation Method in UA5.0 Release:
Tx Power for each common control channel: set relatively to CPICH Tx Power
CPICH Tx Power : set according to CPICH Ec/I0 Target , Cell Range,
Area Reliability, environment parameters
P. HSUPA : room power reserved for HSUPA DL channels. Constant, tunable.
P. Non HSDPA : transmit power for non-HSDPA traffic, i.e. R’99 traffic,
common control channels and HSUPA downlink channels.
Updated within Node-B every 100ms.
DCH Margin: room power for DCH used to prevent fast increase of DCH power
due to Power Control. Proportional to (P. Non HSDPA – CPICH Tx Power)
{ }MarginDCHHSDPANonPPAHSUPAPCCCPMarginSHOPA
HSDPAforAvailablePowerDL
−−−−−= .,..Min
RNC view Node-B view
23 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Power Available for HSDPA (2/2)
Impact of HSUPA Downlink Channels
Power for HSUPA Downlink Channels – Link Budget model:
DL HSUPA Tx Power is assumed constant:
ααααE-AGCH : coefficient (0~1) chosen according to supposed amount of HSUPA traffic.
Assumption: only 1 absolute grant sent at one time.
Default value in Link Budget: 1
E-AGCH Tx Power : Tx power for 1 E-AGCH channel.
UTRAN default value: CPICH Tx Power - 2.5dB
nE-HICH : Average number of signatures used on E-HICH
Default value in Link Budget: 2
E-HICH Tx Power : Tx power per signature of E-HICH.
E-HICH channel Tx power is proportional to #signatures used.
UTRAN default value: CPICH Tx Power – 18.6dB
PowerTxHICHEnPowerTxAGCHEPowerTxHSUPADL HICHEAGCHE ×+×= α
E-RGCH not
supported in
UA5.0
24 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Agenda
1. Uplink Link Budget Methodology
2. Downlink Link Budget Methodology
3. Capacity and Throughput Calculation Basics
25 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
3
Capacity and Throughput Calculation Basics
Method presented: calculation via formulas/static simulation
26 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Pole Capacity:
Maximum theoretical number of active users on the UL supported per cell,
when no limit on UE Max. Tx Power and Max. UL Noise Rise
UL Cell Capacity:
Max. # active users on the UL supported per cell
(all using same UL service i)
Uplink Capacity Calculation (1/2)
Mono Service
ULie
i
II
I
FR
+
=






⋅
+=
SHO
Target
c
Pole
Gi
N
E
ULiAF
FR
iN
)()(
1)(
0
LoadCellULiNiCapacityCellUL Pole ⋅= )()(
Frequency Reuse Efficiency
Soft Handover Gain on capacity
(not considered for HSUPA)channel Activity Factor
(only for Speech service)
Assumed equal to the
maximum allowed value, i.e.
1-1 / Max UL Noise Rise
or
Set according to an iterative
process, thanks to
Traffic ModelTraffic Model
May also be Ec/N0
Target for E-DCH
with a specific
throughput r
27 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
UL Cell Capacity in Traffic Mix:
Maximum number of users (including non-active users) on the UL
supported per cell, assuming a specific Call Profile
Uplink Capacity Calculation (2/2)
Traffic Mix
∑=
= servicesUL
i Pole
UL
iN
i
LoadCellUL
MixTrafficinCapacityCellUL #
1 )(
)(α
Average user throughput in
Busy Hour for UL service i
as given in the Call Profile
∑=
= servicesUL
k
UL
iR
kthroughputCP
iR
ithroughputCP
i #
1 )(
)(
)(
)(
)(αRate for service i
(e.g. 64kbps for CS64)
Formula may
account for
some UL
services
defined as
E-DCH with a
specific
throughput r
28 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Asymptotic Capacity:
Maximum theoretical number of active users on the DL supported per cell,
when no limit on BTS Power Amplifier (all using same DL service j)
DL Cell Capacity in Traffic Mix:
(HSDPA traffic not present, analytic calculation)
Max. #active users on the DL supported per cell
Dowlink Capacity Calculation
OF
Ii
Ie
DL
Gi
N
E
DLOF
iAF
jN
mean
SHO
Target
c
Asymp
+






+
+=
−1
0
)(
)(
1
)(
OF
Ii
Ie
DL
PLTotalMeanDLNoiseThUE
PA
PowerTxCCCPA
mean
+
×
+
−
.
∑=
= servicesDL
j Asymp
DL
jN
j
LoadCellDL
MixTrafficinCapacityCellDL #
1 )(
)(α
29 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Power Available
for HS-DSCH
HS-DSCH
Rx Ec/N0
Distance
Serving Node-B↔↔↔↔UE
HSDPA UE
Category
HSDPA User
Throughput
CQI
reported
HSDPA Throughput Computation via Static Simulation (1/2)
UE SpeedChannel
Profile
DL Total
Path Loss
Shadowing at UE
BTS Ant. Diagram
HSDPA User ThroughputHSDPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation
1. Generate DL Total Path Loss map for each cell.
For each location {x,y} , find the serving cell.
2. Calculate Power Available for HS-DSCH
For each location {x,y} :
3. Calculate HS-DSCH Rx Ec/N0
4. Calculate CQI reported by the mobile
5. Calculate HSDPA User Throughput
[ ]),,(Min)ˆ,,(
,ˆ),(
cyxPLcyxPL
cyxCellServing
=
=
a)
b) Estimate and subtract HS-SCCH Tx Power






−−
−−−
=
MarginDCHHSDPANonPPA
HSUPAPCCCPMarginSHOPA
HSDPAforAvailablePowerDL
.
,..
Min
30 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Power Available
for HS-DSCH
HS-DSCH
Rx Ec/N0
Distance
Serving Node-B↔↔↔↔UE
HSDPA UE
Category
HSDPA User
Throughput
HSDPA User
Throughput
CQI
reported
CQI
reported
HSDPA Throughput Computation via Static Simulation (2/2)
UE SpeedChannel
Profile
DL Total
Path Loss
Shadowing at UE
BTS Ant. Diagram
HSDPA User ThroughputHSDPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation
4. Calculate CQI reported by the mobile:
5. Calculate HSDPA User Throughput:
[dB]
0N
E
RxDSCHHSreportedCQI c
speed += β
13.3120 km/h
14.350 km/h
15.53 km/h
ββββspeedUE Speed
3
2
# HS-PDSCH(s)
QPSK
QPSK
Modulation
432 kbps31262 b10
288 kbps2931 b9
RLC Throughput# MAC-hs PDU(s)
per TB
Transport
Block Size
CQI
CQITablefor
UECategory6
……
Derived from TBS, MAC-d PDU size (=336b),
MAC-hs header size (21b)
Derived assuming
BLER 1Tx=10%
31 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
UL Noise Rise
Available for
user
E-DCH
Rx Ec/N0
Distance
Serving Node-B↔↔↔↔UE
HSDPA UE
Category
E-DCH User
Throughput
E-TFC
HSUPA Throughput Computation via Static Simulation
UE Speed
Max. UL
Noise Rise
(totalRotMax)
UL Total
Path Loss
Shadowing at UE
BTS Ant. Diagram
HSUPA User ThroughputHSUPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation
1. Generate UL Total Path Loss map for each cell.
For each location {x,y} , find the serving cell.
2. Calculate UL Noise Rise Available for User
For each location {x,y} :
3. Calculate E-DCH Rx Ec/N0
4. Derive E-TFC
5. Calculate E-DCH User Throughput
Channel
Profile
usersotherRiseNoiseUL
xtotalRotMa
−
E-DPDCHs Ec/N0
E-DCH
UserThroughput
32 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
HSUPA Throughput Computation via Static Simulation (1/2)
User Throughput Map
Main Assumptions:
HSUPA dedicated carrier (no R’99 UL traffic)
Channel Profile = “Pedestrian A 3km/h”
Penetration Loss = 18dB, Hata Env. Corr. Factor
= 0dB, TMA = On
Shadowing standard deviation = 8dB
UE: Max. Tx Power = 21dBm, HSUPA Category 3
Cell
Range:
+20%
Cell Range
dimensioned
on E-DCH 128
33 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
HSUPA Throughput Computation via Static Simulation (2/2)
User Throughput Vs. Distance from Site
Main Assumptions:
Shared carrier R’99/HSUPA
Channel Profile = “Pedestrian A 3km/h”
Penetration Loss = 18dB, Hata Env. Corr. Factor
= 0dB, TMA = On
Shadowing standard deviation = 8dB
UE: Max. Tx Power = 21dBm, HSUPA Category 3
•0 •100 •200 •300 •400 •500 •600
•700
•800
•900
•1000
•1100
•1200
•1300
•Distance from Serving NodeB [m]
•E-DCHMAC-eUserThroughput[kbps]
•
R’99 UL Cell Load = 50% * Max. UL Cell Load
No R’99 UL traffic
Cell Range = 450m
Cell Range = 540m
Cell Range: +20%
34 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
Presentation Summary
UMTS Link Budget methodology:
Uplink: Cell Range derivation based on specific UL dimensioning service
Downlink:
Calculation for each DL service of required power necessary to reach cell edge
Comparison with maximum allowed power for this DL service
UMTS Link Budget tool usage:
Main objective: derive Cell Range assuming a dimensioning UL service
Other features: UL and DL Capacity calculation via formulas
Gives an idea of capacity without running any simulation
Gives inputs for Radio Dimensioning and Cell Planning
Used to study impact of features on RF aspects
35 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006
www.alcatel-lucent.com

Weitere ähnliche Inhalte

Was ist angesagt?

4 g lte_drive_test_parameters
4 g lte_drive_test_parameters4 g lte_drive_test_parameters
4 g lte_drive_test_parametersAryan Chaturanan
 
Rf network design
Rf network designRf network design
Rf network designNguyen Le
 
RF Training Fundamentals
RF Training FundamentalsRF Training Fundamentals
RF Training FundamentalsEtta2020
 
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )BhaSkar Nath
 
Gsm frequency-planning-issue2
Gsm frequency-planning-issue2Gsm frequency-planning-issue2
Gsm frequency-planning-issue2swatisabnis87
 
Concentric &amp; Dual Band Cells
Concentric &amp; Dual Band CellsConcentric &amp; Dual Band Cells
Concentric &amp; Dual Band CellsFaraz Husain
 
Throughput calculation for LTE TDD and FDD systems
Throughput calculation for LTE TDD and FDD systemsThroughput calculation for LTE TDD and FDD systems
Throughput calculation for LTE TDD and FDD systemsPei-Che Chang
 
850 MHz & 900 MHz Co-Existence
850 MHz & 900 MHz Co-Existence850 MHz & 900 MHz Co-Existence
850 MHz & 900 MHz Co-ExistenceSitha Sok
 
Optimal pilot symbol power allocation in lte
Optimal pilot symbol power allocation in lteOptimal pilot symbol power allocation in lte
Optimal pilot symbol power allocation in lteDat Manh
 
Telecommunication System Engineering Notes
Telecommunication System Engineering NotesTelecommunication System Engineering Notes
Telecommunication System Engineering NotesHaris Hassan
 
03 150323115803-conversion-gate01
03 150323115803-conversion-gate0103 150323115803-conversion-gate01
03 150323115803-conversion-gate01Farhan Saeed
 
Spatial Modulation
Spatial ModulationSpatial Modulation
Spatial ModulationArvin Moeini
 
01 principles of the wcdma system
01 principles of the wcdma system01 principles of the wcdma system
01 principles of the wcdma systemkhurrambilal01
 
Network Planning and Optimization
Network Planning and OptimizationNetwork Planning and Optimization
Network Planning and Optimizationmathurrohitji
 
Short survey for Channel estimation using OFDM systems
Short survey for Channel estimation using OFDM systemsShort survey for Channel estimation using OFDM systems
Short survey for Channel estimation using OFDM systemsMohamed Seif
 
MIMO Channel Capacity
MIMO Channel CapacityMIMO Channel Capacity
MIMO Channel CapacityPei-Che Chang
 

Was ist angesagt? (20)

3 g basics
3 g basics3 g basics
3 g basics
 
4 g lte_drive_test_parameters
4 g lte_drive_test_parameters4 g lte_drive_test_parameters
4 g lte_drive_test_parameters
 
Rf network design
Rf network designRf network design
Rf network design
 
LTE Uplink Power Control
LTE Uplink Power ControlLTE Uplink Power Control
LTE Uplink Power Control
 
RF Training Fundamentals
RF Training FundamentalsRF Training Fundamentals
RF Training Fundamentals
 
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )Coherent  Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM )
 
Lecture 4
Lecture 4Lecture 4
Lecture 4
 
Gsm frequency-planning-issue2
Gsm frequency-planning-issue2Gsm frequency-planning-issue2
Gsm frequency-planning-issue2
 
Concentric &amp; Dual Band Cells
Concentric &amp; Dual Band CellsConcentric &amp; Dual Band Cells
Concentric &amp; Dual Band Cells
 
Throughput calculation for LTE TDD and FDD systems
Throughput calculation for LTE TDD and FDD systemsThroughput calculation for LTE TDD and FDD systems
Throughput calculation for LTE TDD and FDD systems
 
850 MHz & 900 MHz Co-Existence
850 MHz & 900 MHz Co-Existence850 MHz & 900 MHz Co-Existence
850 MHz & 900 MHz Co-Existence
 
Optimal pilot symbol power allocation in lte
Optimal pilot symbol power allocation in lteOptimal pilot symbol power allocation in lte
Optimal pilot symbol power allocation in lte
 
Telecommunication System Engineering Notes
Telecommunication System Engineering NotesTelecommunication System Engineering Notes
Telecommunication System Engineering Notes
 
03 150323115803-conversion-gate01
03 150323115803-conversion-gate0103 150323115803-conversion-gate01
03 150323115803-conversion-gate01
 
Spatial Modulation
Spatial ModulationSpatial Modulation
Spatial Modulation
 
PID1063629
PID1063629PID1063629
PID1063629
 
01 principles of the wcdma system
01 principles of the wcdma system01 principles of the wcdma system
01 principles of the wcdma system
 
Network Planning and Optimization
Network Planning and OptimizationNetwork Planning and Optimization
Network Planning and Optimization
 
Short survey for Channel estimation using OFDM systems
Short survey for Channel estimation using OFDM systemsShort survey for Channel estimation using OFDM systems
Short survey for Channel estimation using OFDM systems
 
MIMO Channel Capacity
MIMO Channel CapacityMIMO Channel Capacity
MIMO Channel Capacity
 

Andere mochten auch

Chap09 phys rlc_03 _kh
Chap09 phys rlc_03 _khChap09 phys rlc_03 _kh
Chap09 phys rlc_03 _khFarzad Ramin
 
ATI Courses Satellite Communications Systems Engineering Professional Develop...
ATI Courses Satellite Communications Systems Engineering Professional Develop...ATI Courses Satellite Communications Systems Engineering Professional Develop...
ATI Courses Satellite Communications Systems Engineering Professional Develop...Jim Jenkins
 
Utran example call_flows
Utran example call_flowsUtran example call_flows
Utran example call_flowssivakumar D
 
Architecture of the lte air interface
Architecture of the lte air interfaceArchitecture of the lte air interface
Architecture of the lte air interfaceEke Okereke
 
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doctharinduwije
 
Link Labs LPWA Webinar
Link Labs LPWA WebinarLink Labs LPWA Webinar
Link Labs LPWA WebinarBrian Ray
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationYasir Azmat
 
Main Differences between LTE & LTE-Advanced
Main Differences between LTE & LTE-AdvancedMain Differences between LTE & LTE-Advanced
Main Differences between LTE & LTE-AdvancedSabir Hussain
 
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPS
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPSSATELLITE COMMUNICATION AND IT'S APPLICATION IN GPS
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPSArkaprava Jana
 
Chap 2. lte channel structure .eng
Chap 2. lte  channel structure .engChap 2. lte  channel structure .eng
Chap 2. lte channel structure .engsivakumar D
 

Andere mochten auch (20)

Chap10 edge 03_kh
Chap10 edge 03_khChap10 edge 03_kh
Chap10 edge 03_kh
 
HSPA Essentials
HSPA EssentialsHSPA Essentials
HSPA Essentials
 
Chap09 phys rlc_03 _kh
Chap09 phys rlc_03 _khChap09 phys rlc_03 _kh
Chap09 phys rlc_03 _kh
 
ATI Courses Satellite Communications Systems Engineering Professional Develop...
ATI Courses Satellite Communications Systems Engineering Professional Develop...ATI Courses Satellite Communications Systems Engineering Professional Develop...
ATI Courses Satellite Communications Systems Engineering Professional Develop...
 
D2DCommunication
D2DCommunicationD2DCommunication
D2DCommunication
 
Utran example call_flows
Utran example call_flowsUtran example call_flows
Utran example call_flows
 
Architecture of the lte air interface
Architecture of the lte air interfaceArchitecture of the lte air interface
Architecture of the lte air interface
 
Hspa systems 002
Hspa systems 002Hspa systems 002
Hspa systems 002
 
LTE Air Interface
LTE Air InterfaceLTE Air Interface
LTE Air Interface
 
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc
10 gsm bss network kpi (uplink downlink balance) optimization manual[1].doc
 
LTE optimization
LTE optimizationLTE optimization
LTE optimization
 
BASIC GSM
BASIC GSMBASIC GSM
BASIC GSM
 
Satellite access
Satellite accessSatellite access
Satellite access
 
Link Labs LPWA Webinar
Link Labs LPWA WebinarLink Labs LPWA Webinar
Link Labs LPWA Webinar
 
LTE Evolution: From Release 8 to Release 10
LTE Evolution: From Release 8 to Release 10LTE Evolution: From Release 8 to Release 10
LTE Evolution: From Release 8 to Release 10
 
Gsm Cell Planning And Optimization
Gsm Cell Planning And OptimizationGsm Cell Planning And Optimization
Gsm Cell Planning And Optimization
 
3GPP LTE-MAC
3GPP LTE-MAC3GPP LTE-MAC
3GPP LTE-MAC
 
Main Differences between LTE & LTE-Advanced
Main Differences between LTE & LTE-AdvancedMain Differences between LTE & LTE-Advanced
Main Differences between LTE & LTE-Advanced
 
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPS
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPSSATELLITE COMMUNICATION AND IT'S APPLICATION IN GPS
SATELLITE COMMUNICATION AND IT'S APPLICATION IN GPS
 
Chap 2. lte channel structure .eng
Chap 2. lte  channel structure .engChap 2. lte  channel structure .eng
Chap 2. lte channel structure .eng
 

Ähnlich wie 206922923 alcatel-lucent-umts-link-budget-methodology-v1-0

Multi user-MIMO Broadcast Channel techniques
Multi user-MIMO Broadcast Channel techniquesMulti user-MIMO Broadcast Channel techniques
Multi user-MIMO Broadcast Channel techniquesIRJET Journal
 
Umts900 Public.1
Umts900 Public.1Umts900 Public.1
Umts900 Public.1cordone
 
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers StateAdjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers StateIOSR Journals
 
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...IRJET Journal
 
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...IRJET Journal
 
A robust doa–based smart antenna processor for gsm base stations
A robust doa–based smart antenna processor for gsm base stationsA robust doa–based smart antenna processor for gsm base stations
A robust doa–based smart antenna processor for gsm base stationsmarwaeng
 
Frequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhzFrequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhzMahmoud Abd Elrahman
 
Frequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hzFrequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hzGeorgios Giannakopoulos
 
3 g coverage guidelines v2
3 g coverage guidelines v23 g coverage guidelines v2
3 g coverage guidelines v2Ryan Racun
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget forAlexander Decker
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget forAlexander Decker
 
Transmitting audio via fiber optics under nonlinear effects and optimized tun...
Transmitting audio via fiber optics under nonlinear effects and optimized tun...Transmitting audio via fiber optics under nonlinear effects and optimized tun...
Transmitting audio via fiber optics under nonlinear effects and optimized tun...IJECEIAES
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts networkThananan numatti
 
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Onyebuchi nosiri
 
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Onyebuchi nosiri
 
LTE Features, Link Budget & Basic Principle
LTE Features, Link Budget & Basic PrincipleLTE Features, Link Budget & Basic Principle
LTE Features, Link Budget & Basic PrincipleMd Mustafizur Rahman
 

Ähnlich wie 206922923 alcatel-lucent-umts-link-budget-methodology-v1-0 (20)

Multi user-MIMO Broadcast Channel techniques
Multi user-MIMO Broadcast Channel techniquesMulti user-MIMO Broadcast Channel techniques
Multi user-MIMO Broadcast Channel techniques
 
Umts900 Public.1
Umts900 Public.1Umts900 Public.1
Umts900 Public.1
 
Ijetcas14 396
Ijetcas14 396Ijetcas14 396
Ijetcas14 396
 
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers StateAdjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State
Adjustment of Cost 231 Hata Path Model For Cellular Transmission in Rivers State
 
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...
IRJET- A Computational Study on Fracture Process Zone for Single Edged Notche...
 
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...
IRJET- Reduction in Peak to Average Power Ration using Proposed Approach for ...
 
A robust doa–based smart antenna processor for gsm base stations
A robust doa–based smart antenna processor for gsm base stationsA robust doa–based smart antenna processor for gsm base stations
A robust doa–based smart antenna processor for gsm base stations
 
Frequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhzFrequency coordination-between-umts-and-gsm-systems-900-mhz
Frequency coordination-between-umts-and-gsm-systems-900-mhz
 
Frequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hzFrequency coordination between umts and gsm systems at 900 m hz
Frequency coordination between umts and gsm systems at 900 m hz
 
J010436069
J010436069J010436069
J010436069
 
Wcdma planning
Wcdma planningWcdma planning
Wcdma planning
 
3 g coverage guidelines v2
3 g coverage guidelines v23 g coverage guidelines v2
3 g coverage guidelines v2
 
Ijetcas14 398
Ijetcas14 398Ijetcas14 398
Ijetcas14 398
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget for
 
A systematic evaluation of link budget for
A systematic evaluation of link budget forA systematic evaluation of link budget for
A systematic evaluation of link budget for
 
Transmitting audio via fiber optics under nonlinear effects and optimized tun...
Transmitting audio via fiber optics under nonlinear effects and optimized tun...Transmitting audio via fiber optics under nonlinear effects and optimized tun...
Transmitting audio via fiber optics under nonlinear effects and optimized tun...
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts network
 
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
 
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
Coverage and Capacity Performance Degradation on a Co-Located Network Involvi...
 
LTE Features, Link Budget & Basic Principle
LTE Features, Link Budget & Basic PrincipleLTE Features, Link Budget & Basic Principle
LTE Features, Link Budget & Basic Principle
 

Kürzlich hochgeladen

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfhans926745
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdfChristopherTHyatt
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 

Kürzlich hochgeladen (20)

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 

206922923 alcatel-lucent-umts-link-budget-methodology-v1-0

  • 1. UMTS Link Budget Methodology Sylvestre Demonget Wireless BG / W-CDMA BD / Post-Sales Support & Technology Introduction / W-CDMA Network Engineering April 2nd, 2007
  • 2. 2 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Agenda 1. Uplink Link Budget Methodology 2. Downlink Link Budget Methodology 3. Capacity and Throughput Calculation Basics
  • 3. 3 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Introduction UMTS Link Budget methodology: Uplink: Cell Range derivation based on a specific UL dimensioning service Downlink: Calculation for each DL service of transmit power necessary to reach cell edge Comparison with maximum allowed power for this DL service Aspects covered in this presentation: Link budget methodology (UL and DL) applicable to both Release 99 and HSPA Cell Range comparisons for multiple: R’99 UL services HSUPA user throughput targets UL and DL Capacity calculation using analytic formulas HSPA Throughput computation using static simulation: Throughput map Throughput Vs. Distance from Site
  • 4. 4 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Agenda 1. Uplink Link Budget Methodology 2. Downlink Link Budget Methodology 3. Capacity and Throughput Calculation Basics
  • 5. 5 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 1 UMTS Uplink Link Budget Methodology, Cell Range Comparisons
  • 6. 6 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (1/8) MAPL Calculation (1/3: R’99) MAPLMAPL Calculation (Release 99)Calculation (Release 99) Aim: used to derive Cell Range Depends on: • UL dimensioning service i (usually CS64) • Propagation environment • UE and Node-B performances • Shadowing Margin, Fast Fading Margin, UL Interference Margin MarginceInterferenULMarginFadingFastMarginShadowing LossCablesGainAntBTSLossnPenetratioLossBody iySensitivitNodeBPowerTxMaxUEiMAPL −−− −+−− −= . )(.)( UEMax. TxPower Body Loss BTS Antenna Gain Penetration Loss Node-BSensitivity (dependsonULservicei) Max. Allowable air interface Path Loss (MAPL) Max. Allowable air interface Path Loss (MAPL) Shadowing Margin Uplink Interference Margin Cables Loss Fast Fading Margin
  • 7. 7 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (2/8) MAPL Calculation (2/3: Impact of HSDPA) MAPLMAPL Calculation (Impact of HSDPA)Calculation (Impact of HSDPA) Mandatory channels for data transfer on HSDPA: Presence of HS-DPCCH impacts MAPL: UE transferring on HSDPA must feed back CQI and ACK/NACK to Node-B on HS-DPCCH UE available Tx power for dimensioning UL service i diminishes MAPL diminishes         ++ + = ∆ 222 22 0 log10 hsdc dc Target b N E UL βββ ββ Handled in the UL link budget as an increase in UL Eb/N0 Target (Vs. w/o HS-DPCCH case):
  • 8. 8 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (2/8) MAPL Calculation (3/3: HSUPA) MAPLMAPL Calculation (HSUPA)Calculation (HSUPA) Cell Range definition: R’99: Cell Range derived assuming a specific UL R’99 dimensioning service i HSUPA: Cell Range may be derived assuming either: – a specific UL R’99 dimensioning service i – a specific E-DCH user throughput at cell edge r HSUPA Ec/N0 according to E-DCH user throughput at cell edge r: )()( 0 i N E NoiseThermalNodeBiySensitivitNodeB Target c+= 1. For several E-TFCs, E-DPDCHs Ec/N0 is given by L1 curves: E-DPDCHs Ec/N0 E-DCH UserThroughput 2. For each E-TFC, HSUPA Ec/N0 is derived from E-DPDCHs Ec/N0 : 3. Criterion for choice of E-TFC: E-TFC giving best Ec/N0 E-TFC giving best BLER 1Tx 0 2 22222 0 N E DPDCHsE n n N E HSUPA c eded hscdeceded Target c × ⋅ ++++⋅ = β βββββ r or
  • 9. 9 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (3/8) Shadowing Margin Shadowing MarginShadowing Margin Aim: Compensation of Shadowing, i.e. variation in signal strength due to obstacles modeled by a Log-Normal law, for mobiles close to cell edge. Value computed so that UL service i can be statistically offered within AR% of cell area (AR: Area Reliability). Calculation Method: 1. Assumption on Log-Normal law Stand. Dev. : 2. Jakes Formula for Soft Handover with 2 servers (R’99) Inputs: σShad, AR, Attenuation Exponent, Correlation coeff. between Shadowing of the 2 legs HSUPA-specific: Jakes Formula for 2 servers without SHO (SHO not supported in Alcatel-Lucent UA5.0 Release) 22 nPenetratioIndoorOutdoorShadShad σσσ += UEMax. TxPower Body Loss BTS Antenna Gain Penetration Loss Node-BSensitivity (dependsonULservicei) Max. Allowable air interface Path Loss (MAPL) Shadowing Margin Shadowing Margin Uplink Interference Margin Cables Loss Fast Fading Margin
  • 10. 10 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (4/8) Fast Fading Margin Fast Fading MarginFast Fading Margin Aim: Compensation of Fast Fading, i.e. variation in signal strength due to multi-path Rayleigh channel profile, for a mobile close to cell edge. Value computed so that a mobile at cell edge can do efficient Power Control, i.e. combat the Fast Fading. Calculation Method: Currently, same calculation method for R’99 and HSUPA UEMax. TxPower Body Loss BTS Antenna Gain Penetration Loss Node-BSensitivity (dependsonULservicei) Max. Allowable air interface Path Loss (MAPL) Shadowing Margin Uplink Interference Margin Cables Loss Fast Fading Margin Fast Fading Margin ( ) ( )OnTPC N E ULOffTPC N E ULMarginFadingFast Target b Target b =−== 00
  • 11. 11 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (5/8) Uplink Interference Margin (1/2) Uplink Interference MarginUplink Interference Margin Aim: Compensation of interference generated by other mobiles on the uplink. Value computed for each UL service i so that i transmitted by a mobile can be received at Node-B with sufficient SINR even at maximum UL Cell Load. Calculation Method: )()(. iRiseNoiseULUserRiseNoiseULTotaliMarginInterfUL −=       − = ∆ LoadCellULNoiseThermalBTS ceInterferenULTotal 1 1 NoiseThermalBTS PowerRxUser ( )[ ]).(.)(1log10)(. iPRxUserInterfULTotaliPowerRxUserNRULTotaliMarginInterfUL dBdB −+−=       +−= )(1log10)( 0 i N E RiseNoiseULTotaliMarginceInterferenUL Target c dBdB UEMax. TxPower Body Loss BTS Antenna Gain Penetration Loss Node-BSensitivity (dependsonULservicei) Max. Allowable air interface Path Loss (MAPL) Shadowing Margin Uplink Interference Margin Uplink Interference Margin Cables Loss Fast Fading Margin
  • 12. 12 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (6/8) Uplink Interference Margin (2/2) Reminder: Total UL Noise Rise value setting in the link budget: Set to the maximum allowed value: Max. UL Noise Rise Set according to an iterative process: Functional point between {Cell Range = UL Link Budget( Total UL NR )} and {Total UL NR = Traffic ModelTraffic Model( Cell Range )} Total UL Noise Rise<Max. UL Noise Rise must be true Max. UL Noise Rise is set by below UTRAN parameters: Limit applied on R’99 traffic only: rtwpMaxCellLoadNonEdch (Default in UA5.0: 50%) Limit applied on total UL traffic (R’99+HSUPA): totalRotMax (Default in UA5.0: 6dB) •Number of subscribers per km2 •Call Profile •Grade of Service (GoS) for each UL service       +−= )(1log10)( 0 i N E RiseNoiseULTotaliMarginceInterferenUL Target c dBdB or
  • 13. 13 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (7/8) Cell Range Calculation Cell RangeCell Range Calculation basing onCalculation basing on MAPLMAPL Relationship Cell Range ↔ MAPL: 2100 MHz: COST-Hata propagation model 900 MHz: Okumura-Hata propagation model Site Coverage for 3-sector case (surface covered by 1 Node-B): ]dB[.])m[log(])m[.log(55.69.44( ][..])m[.log(82.13])MHz[log(9.333.46]dB[ FactorCorrtEnvironmenkdHeightAntBTS dBFactorCorrHeightAntUEHeightAntBTSfLossPath +⋅−+ −−+= ]dB[.])m[log(])m[.log(55.69.44( ][..])m[.log(82.13])MHz[log(16.2655.69]dB[ FactorCorrtEnvironmenkdHeightAntBTS dBFactorCorrHeightAntUEHeightAntBTSfLossPath +⋅−+ −−+= UEMax. TxPower Body Loss BTS Antenna Gain Penetration Loss Node-BSensitivity (dependsonULservicei) Max. Allowable air interface Path Loss (MAPL) Max. Allowable air interface Path Loss (MAPL) Shadowing Margin Uplink Interference Margin Cables Loss Fast Fading Margin 22 3 ]km[ 8 39]km[ RangeCellCoverageSite Sectors ×=
  • 14. 14 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Uplink Link Budget Methodology (8/8) Tower Mounted Amplifier (TMA) Benefits and Drawbacks TMA Aim: Reduce the impact of Cables Loss in the UL ⇒ increase Cell Range TMA handling in Alcatel-Lucent link budget: UL: Cables Loss = 0.4dB (jumper before TMA), Friis Formula for the Noise Figure of {TMA, cables after TMA, BTS} DL: +0.8dB on Cables Loss compared to without TMA case (1 additional jumper + TMA insertion loss) BTS Antenna Gain Cables Loss Without TMA Node-B Sensitivity BTS Antenna Gain Cables Loss with TMA With TMA Node-B Sensitivity TMA impact on the UL: Simplified vision
  • 15. 15 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Cell Range Comparisons (1/2) Dense Urban Environment Main Assumptions: Channel Profile = “Pedestrian A 3km/h” HS-DPCCH impact included in UL R’99 services Eb/N0 E-TFC chosen according to best Ec/N0 criterion Penetration Loss = 18dB, Hata Env. Corr. Factor = 0dB, TMA = On UE Max. Tx Power = 21dBm for all services (conservative) 0.2 0.3 0.4 0.5 0.6 0.7 0 1 2 3 4 5 6 7 8 9 Max. UL Noise Rise [dB] CellRange[km] DCH 128 E-DCH 128 DCH 384 E-DCH 384 E-DCH 1024
  • 16. 16 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Cell Range Comparisons (2/2) Suburban Environment Main Assumptions: Channel Profile = “Pedestrian A 50km/h” HS-DPCCH impact included in UL R’99 services Eb/N0 E-TFC chosen according to best Ec/N0 criterion Penetration Loss=10dB, Hata Env. Corr. Factor = -12dB, TMA = On UE Max. Tx Power = 21dBm for all services (conservative) 0.7 0.9 1.1 1.3 1.5 1.7 1.9 2.1 2.3 0 1 2 3 4 5 6 7 8 9 Max. UL Noise Rise [dB] CellRange[km] DCH 128 E-DCH 128 DCH 384 E-DCH 384 E-DCH 1024
  • 17. 17 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Agenda 1. Uplink Link Budget Methodology 2. Downlink Link Budget Methodology 3. Capacity and Throughput Calculation Basics
  • 18. 18 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 2 UMTS Downlink Link Budget Methodology, Impact of HSUPA DL channels
  • 19. 19 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Downlink Link Budget Methodology (1/3) Downlink Maximum Air Path Loss Calculation Downlink Maximum Air Path LossDownlink Maximum Air Path Loss DL air interface path loss at the cell edge, i.e. for Cell Range derived from UL link budget Aim: used to derive Downlink Maximum Total Path Loss Calculation Method: COST-Hata-1( Cell Range, DL f ) ≡ MAPL + Frequency Shift( DL f – UL f ) Depends on: R’99: UL R’99 dimensioning service i HSUPA: i or specific E-DCH user throughput at cell edge r BTS Ant. Gain DL Max. Total Path LossCables Loss DL Max. Air Path Loss DL Max. Air Path Loss Penetration Loss Shadowing Margin Fast Fading Margin RequiredDL UserTxPower (dependson DLservicej) Body Loss UESensitivity (dependsonDLservicej)
  • 20. 20 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Downlink Link Budget Methodology (2/3) Downlink Maximum Total Path Loss Calculation Downlink Maximum Total Path LossDownlink Maximum Total Path Loss DL total path loss at the cell edge, from BTS PA to UE Aim: used to derive Required DL User Tx Power, HSDPA throughput… Calculation Method: Remark: DL Max. Total PL does not take into account any DL interference margin. Indeed, DL interferences are directly taken into account in the following formula giving Required DL User Tx Power. BTS Ant. Gain DL Max. Total Path Loss DL Max. Total Path LossCables Loss DL Max. Air Path Loss Penetration Loss Shadowing Margin Fast Fading Margin RequiredDL UserTxPower (dependson DLservicej) Body Loss UESensitivity (dependsonDLservicej) MarginFadingFastMarginShadowing LossBodyLossPeneGainAntBTSLossCable PLAirMaxDLPLTotalMaxDL ++ ++−+ = .. ..
  • 21. 21 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Downlink Link Budget Methodology (3/3) Required Downlink User Tx Power Required Downlink UserRequired Downlink User TxTx PowerPower Required transmit power at BTS PA so that DL R’99 service j can be received with sufficient SINR by a mobile at cell edge. Allows to know if DL coverage can be assured at cell edge for service j, by comparing with maxDlTxPower(j), i.e. max. power allowable for j per user. Calculation Method: BTS Ant. Gain DL Max. Total Path LossCables Loss DL Max. Air Path Loss Penetration Loss Shadowing Margin Fast Fading Margin RequiredDL UserTxPower RequiredDL UserTxPower (dependson DLservicej) Body Loss UESensitivity (dependsonDLservicej) 1 0 )( ..)( )(. −       + ×+×+ = j N E DLOF PLTotalMaxDLNoiseThUEPAOF Ii Ie DL jPowerTxUserDLReq Target c edgecell Ii : Intra-cell interference (before despreading, includes own signal) OVSF Codes Orthogonality Factor (depends on channel profile) Ie : Extra-cell interference
  • 22. 22 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Power Available for HSDPA (1/2) Computation Method in UA5.0 Release, for Shared Carrier scenario Power Available for HSDPAPower Available for HSDPA (HS-DSCH+HS-SCCH, all HSDPA users in cell) Computation Method in UA5.0 Release: Tx Power for each common control channel: set relatively to CPICH Tx Power CPICH Tx Power : set according to CPICH Ec/I0 Target , Cell Range, Area Reliability, environment parameters P. HSUPA : room power reserved for HSUPA DL channels. Constant, tunable. P. Non HSDPA : transmit power for non-HSDPA traffic, i.e. R’99 traffic, common control channels and HSUPA downlink channels. Updated within Node-B every 100ms. DCH Margin: room power for DCH used to prevent fast increase of DCH power due to Power Control. Proportional to (P. Non HSDPA – CPICH Tx Power) { }MarginDCHHSDPANonPPAHSUPAPCCCPMarginSHOPA HSDPAforAvailablePowerDL −−−−−= .,..Min RNC view Node-B view
  • 23. 23 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Power Available for HSDPA (2/2) Impact of HSUPA Downlink Channels Power for HSUPA Downlink Channels – Link Budget model: DL HSUPA Tx Power is assumed constant: ααααE-AGCH : coefficient (0~1) chosen according to supposed amount of HSUPA traffic. Assumption: only 1 absolute grant sent at one time. Default value in Link Budget: 1 E-AGCH Tx Power : Tx power for 1 E-AGCH channel. UTRAN default value: CPICH Tx Power - 2.5dB nE-HICH : Average number of signatures used on E-HICH Default value in Link Budget: 2 E-HICH Tx Power : Tx power per signature of E-HICH. E-HICH channel Tx power is proportional to #signatures used. UTRAN default value: CPICH Tx Power – 18.6dB PowerTxHICHEnPowerTxAGCHEPowerTxHSUPADL HICHEAGCHE ×+×= α E-RGCH not supported in UA5.0
  • 24. 24 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Agenda 1. Uplink Link Budget Methodology 2. Downlink Link Budget Methodology 3. Capacity and Throughput Calculation Basics
  • 25. 25 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 3 Capacity and Throughput Calculation Basics Method presented: calculation via formulas/static simulation
  • 26. 26 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Pole Capacity: Maximum theoretical number of active users on the UL supported per cell, when no limit on UE Max. Tx Power and Max. UL Noise Rise UL Cell Capacity: Max. # active users on the UL supported per cell (all using same UL service i) Uplink Capacity Calculation (1/2) Mono Service ULie i II I FR + =       ⋅ += SHO Target c Pole Gi N E ULiAF FR iN )()( 1)( 0 LoadCellULiNiCapacityCellUL Pole ⋅= )()( Frequency Reuse Efficiency Soft Handover Gain on capacity (not considered for HSUPA)channel Activity Factor (only for Speech service) Assumed equal to the maximum allowed value, i.e. 1-1 / Max UL Noise Rise or Set according to an iterative process, thanks to Traffic ModelTraffic Model May also be Ec/N0 Target for E-DCH with a specific throughput r
  • 27. 27 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 UL Cell Capacity in Traffic Mix: Maximum number of users (including non-active users) on the UL supported per cell, assuming a specific Call Profile Uplink Capacity Calculation (2/2) Traffic Mix ∑= = servicesUL i Pole UL iN i LoadCellUL MixTrafficinCapacityCellUL # 1 )( )(α Average user throughput in Busy Hour for UL service i as given in the Call Profile ∑= = servicesUL k UL iR kthroughputCP iR ithroughputCP i # 1 )( )( )( )( )(αRate for service i (e.g. 64kbps for CS64) Formula may account for some UL services defined as E-DCH with a specific throughput r
  • 28. 28 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Asymptotic Capacity: Maximum theoretical number of active users on the DL supported per cell, when no limit on BTS Power Amplifier (all using same DL service j) DL Cell Capacity in Traffic Mix: (HSDPA traffic not present, analytic calculation) Max. #active users on the DL supported per cell Dowlink Capacity Calculation OF Ii Ie DL Gi N E DLOF iAF jN mean SHO Target c Asymp +       + += −1 0 )( )( 1 )( OF Ii Ie DL PLTotalMeanDLNoiseThUE PA PowerTxCCCPA mean + × + − . ∑= = servicesDL j Asymp DL jN j LoadCellDL MixTrafficinCapacityCellDL # 1 )( )(α
  • 29. 29 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Power Available for HS-DSCH HS-DSCH Rx Ec/N0 Distance Serving Node-B↔↔↔↔UE HSDPA UE Category HSDPA User Throughput CQI reported HSDPA Throughput Computation via Static Simulation (1/2) UE SpeedChannel Profile DL Total Path Loss Shadowing at UE BTS Ant. Diagram HSDPA User ThroughputHSDPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation 1. Generate DL Total Path Loss map for each cell. For each location {x,y} , find the serving cell. 2. Calculate Power Available for HS-DSCH For each location {x,y} : 3. Calculate HS-DSCH Rx Ec/N0 4. Calculate CQI reported by the mobile 5. Calculate HSDPA User Throughput [ ]),,(Min)ˆ,,( ,ˆ),( cyxPLcyxPL cyxCellServing = = a) b) Estimate and subtract HS-SCCH Tx Power       −− −−− = MarginDCHHSDPANonPPA HSUPAPCCCPMarginSHOPA HSDPAforAvailablePowerDL . ,.. Min
  • 30. 30 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Power Available for HS-DSCH HS-DSCH Rx Ec/N0 Distance Serving Node-B↔↔↔↔UE HSDPA UE Category HSDPA User Throughput HSDPA User Throughput CQI reported CQI reported HSDPA Throughput Computation via Static Simulation (2/2) UE SpeedChannel Profile DL Total Path Loss Shadowing at UE BTS Ant. Diagram HSDPA User ThroughputHSDPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation 4. Calculate CQI reported by the mobile: 5. Calculate HSDPA User Throughput: [dB] 0N E RxDSCHHSreportedCQI c speed += β 13.3120 km/h 14.350 km/h 15.53 km/h ββββspeedUE Speed 3 2 # HS-PDSCH(s) QPSK QPSK Modulation 432 kbps31262 b10 288 kbps2931 b9 RLC Throughput# MAC-hs PDU(s) per TB Transport Block Size CQI CQITablefor UECategory6 …… Derived from TBS, MAC-d PDU size (=336b), MAC-hs header size (21b) Derived assuming BLER 1Tx=10%
  • 31. 31 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 UL Noise Rise Available for user E-DCH Rx Ec/N0 Distance Serving Node-B↔↔↔↔UE HSDPA UE Category E-DCH User Throughput E-TFC HSUPA Throughput Computation via Static Simulation UE Speed Max. UL Noise Rise (totalRotMax) UL Total Path Loss Shadowing at UE BTS Ant. Diagram HSUPA User ThroughputHSUPA User Throughput Map Computation via Static SimulationMap Computation via Static Simulation 1. Generate UL Total Path Loss map for each cell. For each location {x,y} , find the serving cell. 2. Calculate UL Noise Rise Available for User For each location {x,y} : 3. Calculate E-DCH Rx Ec/N0 4. Derive E-TFC 5. Calculate E-DCH User Throughput Channel Profile usersotherRiseNoiseUL xtotalRotMa − E-DPDCHs Ec/N0 E-DCH UserThroughput
  • 32. 32 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 HSUPA Throughput Computation via Static Simulation (1/2) User Throughput Map Main Assumptions: HSUPA dedicated carrier (no R’99 UL traffic) Channel Profile = “Pedestrian A 3km/h” Penetration Loss = 18dB, Hata Env. Corr. Factor = 0dB, TMA = On Shadowing standard deviation = 8dB UE: Max. Tx Power = 21dBm, HSUPA Category 3 Cell Range: +20% Cell Range dimensioned on E-DCH 128
  • 33. 33 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 HSUPA Throughput Computation via Static Simulation (2/2) User Throughput Vs. Distance from Site Main Assumptions: Shared carrier R’99/HSUPA Channel Profile = “Pedestrian A 3km/h” Penetration Loss = 18dB, Hata Env. Corr. Factor = 0dB, TMA = On Shadowing standard deviation = 8dB UE: Max. Tx Power = 21dBm, HSUPA Category 3 •0 •100 •200 •300 •400 •500 •600 •700 •800 •900 •1000 •1100 •1200 •1300 •Distance from Serving NodeB [m] •E-DCHMAC-eUserThroughput[kbps] • R’99 UL Cell Load = 50% * Max. UL Cell Load No R’99 UL traffic Cell Range = 450m Cell Range = 540m Cell Range: +20%
  • 34. 34 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 Presentation Summary UMTS Link Budget methodology: Uplink: Cell Range derivation based on specific UL dimensioning service Downlink: Calculation for each DL service of required power necessary to reach cell edge Comparison with maximum allowed power for this DL service UMTS Link Budget tool usage: Main objective: derive Cell Range assuming a dimensioning UL service Other features: UL and DL Capacity calculation via formulas Gives an idea of capacity without running any simulation Gives inputs for Radio Dimensioning and Cell Planning Used to study impact of features on RF aspects
  • 35. 35 | HSUPA Link Budget | February 28th, 2007 All Rights Reserved © Alcatel-Lucent 2006 www.alcatel-lucent.com