Project(Introduction Presentation)

1. 1
Survey on Ofdm-Mimo wireless broadcasting
system
Guided By-
Debasis Surya N.Das

2. Content
 Introduction
 Wireless broadcasting System
OFDM
 Literature Survey
 Objective
References
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3. Introduction
 Increasing growth of data traffic we have to rely on
multiple transmitter and multiple receiver of
antenna for better transmission.
 Due to limitation of spectrum bandwidth
efficiency ,we have to search for a communication
design with high data rate(bandwidth-efficiency)
and small error rate(power-efficiency)
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4. Wireless broadcasting System
 Wireless communication is the transfer of
information between two or more points that are not
connected by an electrical conductor.
 Wireless systems can be divided into 4 forms:
 > SISO
 > SIMO
 > MISO
 > MIMO
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5. SISO
 SISO (single input, single output) refers to a wireless
communications system in which one antenna is used
at the source(transmitter) and one antenna is used at
the destination (receiver).
 It uses simple antenna technology.
 Interference and fading will have more effect in this
system.
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6. SIMO
 SIMO (single input, multiple output) is
an antenna technology for wireless communications in
which multiple antennas are used at the
destination (receiver).
 The source (transmitter) has only one antenna.
 The antennas are combined to minimize errors and
optimize data speed.
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7. MISO
 MISO (multiple input, single output) is also termed
transmit diversity.
 The advantage of using MISO is that the multiple
antennas and the redundancy coding / processing is
moved from the receiver to the transmitter.
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8. MIMO
 Multiple-Input Multiple-Output (MIMO) technology
is a wireless technology that uses multiple transmitters
and receivers to transfer more data at the same time.
 MIMO makes antennas work smarter by enabling
them to combine data streams arriving from different
paths.
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9. Advantages of MIMO
 It offers significant increase in data throughput and
link range without additional bandwidth or increased
transmit power.
 MIMO technology takes advantage of a natural radio-wave
phenomenon called multipath.
 MIMO makes antennas work smarter.
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10. Application of MIMO
• WLAN – WiFi 802.11n
• Mesh Networks (e.g., Wireless)
• WMAN – WiMAX 802.16e
• 4G
• RFID(Radio Frequency Identification)
• Digital Home
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11. OFDM
 Orthogonal frequency-division multiplexing (OFDM) is a
method of digital modulation in which a signal is split into
several narrowband channels at different frequencies.
 OFDM is similar to conventional frequency-division
multiplexing (FDM).
 OFDM is a frequency-division multiplexing(FDM) scheme
used as a digital multicarrier modulation method.
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12. 12

13. Advantage of OFDM
 Allows simultaneous high-data-rate transmission from
several users.
 Pulsed carrier can be avoided.
 Resilience to interference
 Immunity to selective fading
 Spectrum Efficiency
 Resilient to ISI
 Resilient to narrow band effects
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14. Application of OFDM
 Digital Audio Broadcasting (DAB)
 Digital television
 Wireless LAN Network
 Broadband Wireless Access System
 ADSL (Asymmetric digital subscriber line)
 The LTE and LTE Advanced 4G mobile phone
standards.
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15. Literature Survey
AREA AUTHOR METHODOLOGY
1)Adaptive filter
i)Gyorgy Oros,Laszlo
Sujbert,Gabor Pecl
ii) Herbert Buncher,Jacob
Benety,Walter kellerman [2]
i)Multiple Adaptive filtering
ii) FX-LMS
2)Channel Estimation i)Eleftherios Kofidis
,DimitriosKatselis ,
AthanasiosRontogiannis , Sergios
Theodoridis [1]
ii)Ashwani Sharmaa, Swades Deb, Hari
M. Guptab, Ranjan Gangopadhyayd
i)Preamble-based channel estimation
methods
ii)Distortion analysis of MDTC–OFDM
system
3)Channel equalization i)Gyanesh Das a, Prasant Kumar
Pattnaik b, Sasmita Kumari Padhy [3]
ii) Babak HajiBagher Naeenia,
Hamidreza Amindavarb, Hamidreza
Bakhshi
i)Artificial Neural Network
by channel equalization
ii) Blind per tone equalization
of multilevel signals
4)Channel Modeling
Robert c.danies,robert w.heath jr[4]
i)Inverse marginal cdf
approximation through
subcarrier ordering 15

16. Objective
 By the above literature survey ,we set our project
objective as
“CHANNEL MODEL FOR OFDM-MIMO WIRELESS
BROADCATING SYSTEM”
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17. References
[1] E. Kofidis ,et al., “Channel estimation in OFDM/OQAM
systems”, ‘‘ Elsevier /23january,2013”
[2] H.Buncher ,et al., “Adaptive filtering with bandwidth
constraint in feedback path”, “ Elsevier /25june,2011”
[3] G. Das ,et al .,“Artificial Neural Network trained by
Particle Swarm Optimization for non-linear channel
equalization”,/Elsevier /12 july,2013”
[4] Robert c.danies,et al., “modeling order subcarrier SNR
in mimo OFDM”,/Elsevier/1ooctober,2011
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18. THANK YOU
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