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Relay Channel for Mobile Communications

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Title: Relay Channel for Mobile Communications


1
Relay Channel for Mobile
Communications
  • Presenter Rohit Kumar

2
Wireless Network
3
Outline
  • Relay Channel
  • Transmission Strategies
  • Diversity
  • Cooperative Communication Virtual Antenna Array
  • Model Analysis
  • Few points about the Model
  • Cooperative Diversity
  • Concluding Remarks

4
Relay Channel
5
Transmission Strategies
  • Fixed Relaying
  • Decode and forward (Limited by Tx-R link)
  • Observe and forward (effec. when R-Rx is good)
  • Amplify and forward (Not as good as others )
  • Adaptive forwarding
  • Selective Relaying (Selects based on channel)
  • Incremental Relaying (Uses feedback to improve
    spectral efficiency)
  • Linear Relaying

6
Diversity
  • Diversity Gain
  • Diversity mitigates effect of multipath fading.
  • One method is to use multiple transmit and
    receive antennas.
  • Transmit diversity may not be practical
  • - most handsets (size)
  • - wireless sensor network (size, power)

7
Idea of Cooperative Communication
MIMO System
MIMO using relays
DIVERSITY
Potential increase of
CAPACITY
8
Idea of cooperative communication
9
Channel Model
10
Capacity of the system

11
Statistical Equivalent Channel to BS
12
Different Channels Towards BS
13
Probability of Outage
14
Deduction of the scheme
  • Higher data rates for given power or reduced
    power requirements for same rate increased
    battery life.
  • Increase in receiver complexity.
  • Significant reduction in outage probability.
  • Increase in cellular region.

15
So can we celebrate????
16
All that glitters is not gold!!
17
Issues with proposed model
  • It can be generalized to M-users. Complexity
    incurred would be tremendous.
  • Which users would should cooperate and what/who
    is deciding factor?
  • Model uses phase information at Tx, and Laneman
    et al. proved that without CSI at Tx, there is no
    gain from cooperation in fast fading environment.
  • Laneman also proved that in slow fading
    condition, cooperative diversity can be achieved.

18
Contd.
  • Good news Diversity gain would be equal to the
    number of cooperating terminals.
  • With orthogonal users, SNR losses due to
    bandwidth inefficiency is very low
  • With Space time coding, SNR loss is linear in
    nature.

19
References
  • A Sendonaris, E. Erkip, and Aazhang, User
    Cooperative diversity part I system
    description, IEEE Trans. on Comm.
  • T. M. Cover, and A. A. E. Gamal, Capacity
    theorems for relay channels IEEE Trans. On
    Information Theory.
  • S. Zahedi, On reliable communication over relay
    channels, PhD dissertation, Stanford University,
    CA, August 2005.
  • J. Nicholas Laneman, Cooperative Diversity in
    Wireless Networks Algorithms and Architectures,
    MIT, September 2002.

20
  • Questions?????

21
The Process
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