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www.cbnl.com




Next generation thinking

Data Centric Backhaul
John Naylon
October 2011
Contents
• The quality of experience problem space

• Architectures compared

• Applicability to next generation networks

• Conclusions




www.cbnl.com                                  2
The Problem Space: Data is Dominant
• Mobile traffic is now dominated by data
 − Data overtook voice in 2009
 − Data volume is growing exponentially


• It costs the same to backhaul a byte of
  voice as a byte of data
 − But user price for a data byte is much lower


• Efficient data backhaul is a critical
  issue for mobile operators today




                                                  Mobile Data Growth, Actual and Forecast
                                                                 Sources: Cisco VNI




www.cbnl.com                                                                                3
Smartphones, Tablets and Cloud Apps are the Norm
                               • 78% of tablets shipped will have a 3G/4G
                                modem in 2015

                               • By 2015, 65% of e-readers worldwide will
                                ship with an embedded 3G/4G modem.

                               • Approximately 16 million portable and
                                computing devices shipped with 3G/4G
                                cellular connectivity in 2010

                               • 70% of the companies currently using cloud-
                                based services plan to move additional tools
                                to the cloud in the next 12 months

                               • 63% of cloud users say being on the cloud
                                has decreased performance issues

                               • SandHill survey of 500 IT decision-makers;
                                50% say their primary reason for adopting
                                cloud applications is business agility.
                                         Source: Gartner, In-Stat                       4
www.cbnl.com
                                         3rd party logo’s and trademarks acknowledged
End of the PC?

iPhone was an awakening                   ...all it needed was a bigger screen
• By the time we got to the iPhone 3Gs,   • ...And the iPad was
 people realised they were spending        born. As more people
 more time on their phones doing more      buy iPhones (18m per
 than they ever dreamt!                    quarter), more people
                                           will buy iPads!



The PC replaced the typewriter            Cloud OS and apps are next
• It took PC’s 15 years to replace        • Chrome OS has almost no identifiable
 typewriters... now we use several         need for anything but minimal amounts of
                                           local storage. Cloud computing demands
 computers each day, some are              high performance networks to deliver a
 stationary, others are mobile, most       good experience
 are embedded.                            Networks will enable it


www.cbnl.com
The Problem Space: Wireless dominant in the last mile
• Need to connect mobile base stations
 (node Bs) to core network                         100%

    − Could use copper, fibre or microwave radio
    − Microwave is the dominant choice
    − Circa 500k microwave backhaul connections    75%
      per year

                                                   50%




                                                   25%




                                                    0%
                                                          08   09    10      11      12      13     14   15
                                                                                                         Year
                                                                    Microwave     Fibre    Copper

                                                   Worldwide Installed Mobile Backhaul Connections
                                                                    Source: Infonetics Research




www.cbnl.com                                                                                                    6
The Problem Space: Shape of Data
• Data is “bursty”, uncorrelated, asymmetric
   − This characteristic is driven by user and application behaviour
   − Burstiness still present when traffic is aggregated within a node B

                                                                           Handset traffic (one iPhone 4)
                                                                                            Peak: 11.44 Mbps
                                                                                            Mean: 0.14 Mbps
                                                                                            Ratio: 79.20 Mbps




                                                                            Handset traffic (10 Devices)
                                                                                            Peak: 12.07 Mbps
                                                                                            Mean: 1.44 Mbps
                                                                                            Ratio: 8.37 Mbps




                                                                               Node B backhaul traffic
                                                                                            Peak: 23.31 Mbps
                                                                                            Mean: 5.54 Mbps
                                                                                            Ratio: 4.20 Mbps




www.cbnl.com                                                                                            7
The Problem Space: Peak to Mean Ratio
• RAN air interfaces are becoming
 more sophisticated, with larger                                    *

 carriers
   − Potential peak upload and download
     speeds increase

• Peak-to-mean ratio of backhaul
 traffic averages 3.9:1 across a broad
 range of peak speeds
   − We must provision at least the
     peak, and the mean utilisation of the link
     is at most equal to the mean offered
     load

   − Therefore mean utilisation of point-to-
     point links to node Bs limited to ~25%

   − To improve on this utilisation, we must
     use PMP to take advantage of other
     properties of the traffic (see section 2)    * HSPA+ 21.6 tri-cellular nodeBs

www.cbnl.com                                                                         8
Challenge: Deliver a superior customer experience
• Changing customer behaviours and
 devices demand high peak download
 speeds, low latency

• Cloud-based applications and storage
 increases pressure on network
 performance



• Backhaul solutions need to be high
 capacity and low latency to retain
 customers and low opex to deliver
 business case



www.cbnl.com                 Commercial in confidence   9
Contents
• The quality of experience problem space

• Architectures compared

• Applicability to next generation networks

• Conclusions




www.cbnl.com                   Commercial in confidence   10
Architecture 1: Point-to-Point Microwave Radio, Star Topology
• The most common microwave topology in use today
   − For N links, 2N radios
   − Dedicated RF channel for each node B served
   − Circuit-switched architecture is well-suited to constant bit rate traffic
   − Conventional and E-Band frequencies




www.cbnl.com                                                                     11
Architecture 2: Point-to-Multipoint Microwave Radio
• The fastest growing microwave topology today
   − For N links, N+1 radios
   − Shared RF channel amongst all node Bs served
   − Packet-switched architecture is well-suited to variable bit rate (bursty) traffic
   − Well-suited to dense environments




www.cbnl.com                                                                             12
Comparison: Installation and Maintenance
                  Point-to-Point                 Point-to-Multipoint




                2 ODUs per link              1 hub ODU plus 1 RT per link
          2 truck rolls per link added         1 truck roll per link added
           2 antenna rentals per link       1 hub site rental plus 1 per link
             2 units power per link      1 unit power per hub plus 1 per link

       • 16 ODUs/truck rolls/antennas       • 9 ODUs/truck rolls/antennas
      • 16 units of power consumption      • 9 units of power consumption


www.cbnl.com                                                                    13
Comparative Case Study
• We examine measured backhaul profiles from a group of eight node Bs
   − Live network, large middle-eastern operator, heavy data usage
   − HSPA+ 21.6Mb/s tri-cellular node Bs
   − Theoretical maximum throughput 64.8Mbp/s per site

• Consider the amount of spectrum needed for each of the two topologies
   − Use the bare minimum of spectrum to carry exact data profile (no ‘headroom’)




www.cbnl.com                                                                        14
Comparison: Spectrum Required
                   Point-to-Point                                        Point-to-Multipoint




  Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps   Cumulative Peak: 77.9 Mbps   Cumulative Mean: 39.7 Mbps




    • Spectrum required = 15.4 MHz                            • Spectrum required = 9.7 MHz
                                                                                 * 256-QAM assumed in both cases




www.cbnl.com                                                                                                       15
Comparison: Channel Utilisation
                   Point-to-Point                                        Point-to-Multipoint




  Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps   Cumulative Peak: 77.9 Mbps   Cumulative Mean: 39.7 Mbps




               • Efficiency = 32.2%                                  • Efficiency = 51.0%




www.cbnl.com                                                                                                    16
Contents
• The quality of experience problem space

• Architectures compared

• Applicability to next generation networks

• Conclusions




www.cbnl.com                                  17
Backhaul for LTE
•




www.cbnl.com       18
LTE deployments will be macro and small cells
• Demand for mobile traffic is increasing on average by about 100% per annum
  − So in the next 5 years we expect growth of about 20—40

• Capacity is provided by network operators using the following parameters:

               Capacity = Spectrum       Mean Spectral Efficiency          Site Density

• In the next 5 years:

  − Spectrum will almost double                                                   =   2
  − 3G and 4G technology will roughly double mean spectral efficiency             =   2

  − This gives a capacity gain per site of                                        =   4

  − The only tool left in the box is site density and therefore I need            =       5—10

    higher site density to give the necessary result of network capacity          =   20—40

www.cbnl.com                                                                                     19
PMP Advantages Increase with Site Density: Efficiency
• PMP advantages increase as the RAN gets denser
   − More sources in a PMP sector results in more statistical multiplexing gain
   − Measured results from 922 node Bs backhauled across VectaStar PMP
   − Live network, HSPA+ 21Mpbs, very heavy data usage




www.cbnl.com                                                                      20
Comparison: Installation and Maintenance
                       Point-to-Point                               Point-to-Multipoint




                     2 ODUs per link                            1 hub ODU plus 1 RT per link
               2 truck rolls per link added                       1 truck roll per link added
                2 antenna rentals per link                     1 hub site rental plus 1 per link
                  2 units power per link                    1 unit power per hub plus 1 per link

         • 16 ODUs/truck rolls/antennas                        • 9 ODUs/truck rolls/antennas
        • 16 units of power consumption                       • 9 units of power consumption

                                At 8 Links = PMP Saving of 7 ‘units’
www.cbnl.com                                                                                       21
PMP Advantages Increase with Site Density: CAPEX and OPEX
                Point-to-Point                Point-to-Multipoint




             2 ODUs per link             3 hub ODUs plus 1 RT per link
       2 truck rolls per link added         1 truck roll per link added
        2 antenna rentals per link       3 hub site rental plus 1 per link
          2 units power per link      3 unit power per hub plus 1 per link

   • 160 ODUs/truck rolls/antennas      • 83 ODUs/truck rolls/antennas
  • 160 units of power consumption     • 83 units of power consumption


               At 80 Links = PMP Saving of 77 ‘units’
www.cbnl.com                                                                 22
Another Dimension: LOS or NLOS

Requirement:                  Capacity                      Coverage
                        Aggregating 10 cells to a PoP   Cells in cluttered locations
                       requires 10 mean cell capacity    Uncertain LOS to PoPs




Implications:



               High capacity and NLOS capability are
                  mutually exclusive requirements
www.cbnl.com                                                                           23
Contents
• The quality of experience problem space

• Architectures compared

• Applicability to next generation networks

• Conclusions




www.cbnl.com                                  24
Summary
• Data is bursty, uncorrelated, asymmetric and growing like crazy
  − Not easy to backhaul efficiently

• Point-to-point microwave is fundamentally a circuit switched architecture
  − Packet data does not map onto circuits well (!)
  − Utilisation of the average point-to-point link backhauling mobile data is ~25%

• Point-to-multipoint microwave provides true packet switching and:
  − The same user experience
  − More efficient utilisation of spectrum
  − Less equipment to install and maintain

• Point-to-multipoint advantages are increasing with current RAN trends
  − Higher peak speeds imply better statistical multiplexing gain
  − Capex and Opex advantages scale with network density




www.cbnl.com                                                                         25

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Data Centric Backhaul

  • 1. www.cbnl.com Next generation thinking Data Centric Backhaul John Naylon October 2011
  • 2. Contents • The quality of experience problem space • Architectures compared • Applicability to next generation networks • Conclusions www.cbnl.com 2
  • 3. The Problem Space: Data is Dominant • Mobile traffic is now dominated by data − Data overtook voice in 2009 − Data volume is growing exponentially • It costs the same to backhaul a byte of voice as a byte of data − But user price for a data byte is much lower • Efficient data backhaul is a critical issue for mobile operators today Mobile Data Growth, Actual and Forecast Sources: Cisco VNI www.cbnl.com 3
  • 4. Smartphones, Tablets and Cloud Apps are the Norm • 78% of tablets shipped will have a 3G/4G modem in 2015 • By 2015, 65% of e-readers worldwide will ship with an embedded 3G/4G modem. • Approximately 16 million portable and computing devices shipped with 3G/4G cellular connectivity in 2010 • 70% of the companies currently using cloud- based services plan to move additional tools to the cloud in the next 12 months • 63% of cloud users say being on the cloud has decreased performance issues • SandHill survey of 500 IT decision-makers; 50% say their primary reason for adopting cloud applications is business agility. Source: Gartner, In-Stat 4 www.cbnl.com 3rd party logo’s and trademarks acknowledged
  • 5. End of the PC? iPhone was an awakening ...all it needed was a bigger screen • By the time we got to the iPhone 3Gs, • ...And the iPad was people realised they were spending born. As more people more time on their phones doing more buy iPhones (18m per than they ever dreamt! quarter), more people will buy iPads! The PC replaced the typewriter Cloud OS and apps are next • It took PC’s 15 years to replace • Chrome OS has almost no identifiable typewriters... now we use several need for anything but minimal amounts of local storage. Cloud computing demands computers each day, some are high performance networks to deliver a stationary, others are mobile, most good experience are embedded. Networks will enable it www.cbnl.com
  • 6. The Problem Space: Wireless dominant in the last mile • Need to connect mobile base stations (node Bs) to core network 100% − Could use copper, fibre or microwave radio − Microwave is the dominant choice − Circa 500k microwave backhaul connections 75% per year 50% 25% 0% 08 09 10 11 12 13 14 15 Year Microwave Fibre Copper Worldwide Installed Mobile Backhaul Connections Source: Infonetics Research www.cbnl.com 6
  • 7. The Problem Space: Shape of Data • Data is “bursty”, uncorrelated, asymmetric − This characteristic is driven by user and application behaviour − Burstiness still present when traffic is aggregated within a node B Handset traffic (one iPhone 4) Peak: 11.44 Mbps Mean: 0.14 Mbps Ratio: 79.20 Mbps Handset traffic (10 Devices) Peak: 12.07 Mbps Mean: 1.44 Mbps Ratio: 8.37 Mbps Node B backhaul traffic Peak: 23.31 Mbps Mean: 5.54 Mbps Ratio: 4.20 Mbps www.cbnl.com 7
  • 8. The Problem Space: Peak to Mean Ratio • RAN air interfaces are becoming more sophisticated, with larger * carriers − Potential peak upload and download speeds increase • Peak-to-mean ratio of backhaul traffic averages 3.9:1 across a broad range of peak speeds − We must provision at least the peak, and the mean utilisation of the link is at most equal to the mean offered load − Therefore mean utilisation of point-to- point links to node Bs limited to ~25% − To improve on this utilisation, we must use PMP to take advantage of other properties of the traffic (see section 2) * HSPA+ 21.6 tri-cellular nodeBs www.cbnl.com 8
  • 9. Challenge: Deliver a superior customer experience • Changing customer behaviours and devices demand high peak download speeds, low latency • Cloud-based applications and storage increases pressure on network performance • Backhaul solutions need to be high capacity and low latency to retain customers and low opex to deliver business case www.cbnl.com Commercial in confidence 9
  • 10. Contents • The quality of experience problem space • Architectures compared • Applicability to next generation networks • Conclusions www.cbnl.com Commercial in confidence 10
  • 11. Architecture 1: Point-to-Point Microwave Radio, Star Topology • The most common microwave topology in use today − For N links, 2N radios − Dedicated RF channel for each node B served − Circuit-switched architecture is well-suited to constant bit rate traffic − Conventional and E-Band frequencies www.cbnl.com 11
  • 12. Architecture 2: Point-to-Multipoint Microwave Radio • The fastest growing microwave topology today − For N links, N+1 radios − Shared RF channel amongst all node Bs served − Packet-switched architecture is well-suited to variable bit rate (bursty) traffic − Well-suited to dense environments www.cbnl.com 12
  • 13. Comparison: Installation and Maintenance Point-to-Point Point-to-Multipoint 2 ODUs per link 1 hub ODU plus 1 RT per link 2 truck rolls per link added 1 truck roll per link added 2 antenna rentals per link 1 hub site rental plus 1 per link 2 units power per link 1 unit power per hub plus 1 per link • 16 ODUs/truck rolls/antennas • 9 ODUs/truck rolls/antennas • 16 units of power consumption • 9 units of power consumption www.cbnl.com 13
  • 14. Comparative Case Study • We examine measured backhaul profiles from a group of eight node Bs − Live network, large middle-eastern operator, heavy data usage − HSPA+ 21.6Mb/s tri-cellular node Bs − Theoretical maximum throughput 64.8Mbp/s per site • Consider the amount of spectrum needed for each of the two topologies − Use the bare minimum of spectrum to carry exact data profile (no ‘headroom’) www.cbnl.com 14
  • 15. Comparison: Spectrum Required Point-to-Point Point-to-Multipoint Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps Cumulative Peak: 77.9 Mbps Cumulative Mean: 39.7 Mbps • Spectrum required = 15.4 MHz • Spectrum required = 9.7 MHz * 256-QAM assumed in both cases www.cbnl.com 15
  • 16. Comparison: Channel Utilisation Point-to-Point Point-to-Multipoint Cumulative Peak: 123.2 Mbps Cumulative Mean: 39.7 Mbps Cumulative Peak: 77.9 Mbps Cumulative Mean: 39.7 Mbps • Efficiency = 32.2% • Efficiency = 51.0% www.cbnl.com 16
  • 17. Contents • The quality of experience problem space • Architectures compared • Applicability to next generation networks • Conclusions www.cbnl.com 17
  • 19. LTE deployments will be macro and small cells • Demand for mobile traffic is increasing on average by about 100% per annum − So in the next 5 years we expect growth of about 20—40 • Capacity is provided by network operators using the following parameters: Capacity = Spectrum Mean Spectral Efficiency Site Density • In the next 5 years: − Spectrum will almost double = 2 − 3G and 4G technology will roughly double mean spectral efficiency = 2 − This gives a capacity gain per site of = 4 − The only tool left in the box is site density and therefore I need = 5—10 higher site density to give the necessary result of network capacity = 20—40 www.cbnl.com 19
  • 20. PMP Advantages Increase with Site Density: Efficiency • PMP advantages increase as the RAN gets denser − More sources in a PMP sector results in more statistical multiplexing gain − Measured results from 922 node Bs backhauled across VectaStar PMP − Live network, HSPA+ 21Mpbs, very heavy data usage www.cbnl.com 20
  • 21. Comparison: Installation and Maintenance Point-to-Point Point-to-Multipoint 2 ODUs per link 1 hub ODU plus 1 RT per link 2 truck rolls per link added 1 truck roll per link added 2 antenna rentals per link 1 hub site rental plus 1 per link 2 units power per link 1 unit power per hub plus 1 per link • 16 ODUs/truck rolls/antennas • 9 ODUs/truck rolls/antennas • 16 units of power consumption • 9 units of power consumption At 8 Links = PMP Saving of 7 ‘units’ www.cbnl.com 21
  • 22. PMP Advantages Increase with Site Density: CAPEX and OPEX Point-to-Point Point-to-Multipoint 2 ODUs per link 3 hub ODUs plus 1 RT per link 2 truck rolls per link added 1 truck roll per link added 2 antenna rentals per link 3 hub site rental plus 1 per link 2 units power per link 3 unit power per hub plus 1 per link • 160 ODUs/truck rolls/antennas • 83 ODUs/truck rolls/antennas • 160 units of power consumption • 83 units of power consumption At 80 Links = PMP Saving of 77 ‘units’ www.cbnl.com 22
  • 23. Another Dimension: LOS or NLOS Requirement: Capacity Coverage Aggregating 10 cells to a PoP Cells in cluttered locations requires 10 mean cell capacity Uncertain LOS to PoPs Implications: High capacity and NLOS capability are mutually exclusive requirements www.cbnl.com 23
  • 24. Contents • The quality of experience problem space • Architectures compared • Applicability to next generation networks • Conclusions www.cbnl.com 24
  • 25. Summary • Data is bursty, uncorrelated, asymmetric and growing like crazy − Not easy to backhaul efficiently • Point-to-point microwave is fundamentally a circuit switched architecture − Packet data does not map onto circuits well (!) − Utilisation of the average point-to-point link backhauling mobile data is ~25% • Point-to-multipoint microwave provides true packet switching and: − The same user experience − More efficient utilisation of spectrum − Less equipment to install and maintain • Point-to-multipoint advantages are increasing with current RAN trends − Higher peak speeds imply better statistical multiplexing gain − Capex and Opex advantages scale with network density www.cbnl.com 25