Leveraging coherent distributed space-time codes for noncoherent communication in relay networks via training

For point to point multiple input multiple output systems, Dayal-Brehler-Varanasi have proved that training codes achieve the same diversity order as that of the underlying coherent space time block code (STBC) if a simple minimum mean squared error estimate of the channel formed using the training...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 8; no. 2; pp. 683 - 688
Main Authors: Rajan, G. Susinder, Rajan, B. Sundar
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.02.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Applied sciences
Audio frequencies
Block codes
Channel estimation
Channels
Coding, codes
Coherence
Cooperative diversity
Councils
Decoding
Detection, estimation, filtering, equalization, prediction
Digital relays
distributed space time block code
Exact sciences and technology
Fading
Information, signal and communications theory
Maximum likelihood detection
MIMO
Multiplexing
noncoherent communication
OFDM
Orthogonal Frequency Division Multiplexing
Relay networks
Signal and communications theory
Signal, noise
Space time codes
Strategy
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Training
Transmission and modulation (techniques and equipments)
Performance evaluation
MIMO system
Block code
Space-time codes
Parameter estimation
Relay
Diversity
training
Coherent detection
Mean square error
Learning
noncoherent communication
Cooperative diversity
Simulation
distributed space time block code
Channel estimation
Telecommunication network
Orthogonal frequency division multiplexing
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Description
Summary:For point to point multiple input multiple output systems, Dayal-Brehler-Varanasi have proved that training codes achieve the same diversity order as that of the underlying coherent space time block code (STBC) if a simple minimum mean squared error estimate of the channel formed using the training part is employed for coherent detection of the underlying STBC. In this letter, a similar strategy involving a combination of training, channel estimation and detection in conjunction with existing coherent distributed STBCs is proposed for noncoherent communication in amplify-and-forward (AF) relay networks. Simulation results show that the proposed simple strategy outperforms distributed differential space-time coding for AF relay networks. Finally, the proposed strategy is extended to asynchronous relay networks using orthogonal frequency division multiplexing.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.080545