Asynchronous Compute-and-Forward

The impact of time asynchronism on the performance of compute-and-forward strategy in relay networks is considered. While the key idea in compute-and-forward is to decode a linear synchronous combination of the transmitted codewords, the relays receive random asynchronous versions of the combination...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 61; no. 7; pp. 2704 - 2712
Main Authors: Najafi, H., Damen, M. O., Hjorungnes, A.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Antennas
Applied sciences
Asynchronous relay network
Channels
Coding, codes
cooperative communications
Decoding
Delay
Delays
Detection, estimation, filtering, equalization, prediction
Equations
Exact sciences and technology
frame-asynchronism
Information, signal and communications theory
lattice coding and decoding
Networks
Radiocommunications
Receivers
Relay
Relays
reliable computation
Signal and communications theory
Signal to noise ratio
Signal, noise
Strategy
Switching and signalling
symbol-asynchronism
Synchronous
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmitters
Vectors
Performance evaluation
Relay
Relay network
frame-asynchronism
Asynchronous relay network
Trellis code
Decoding
Equalizer
Signalling
symbol-asynchronism
Linear combination
reliable computation
Linear filter
lattice coding and decoding
Delay time
cooperative communications
Antenna
Signal to noise ratio
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Description
Summary:The impact of time asynchronism on the performance of compute-and-forward strategy in relay networks is considered. While the key idea in compute-and-forward is to decode a linear synchronous combination of the transmitted codewords, the relays receive random asynchronous versions of the combinations due to the distributed nature of the network. Over a symbol-asynchronous network, we show that by using a simple equalizer as a part of the signaling scheme, one can transform the asynchronous system into a synchronous one albeit with a smaller channel gain. With frame-asynchronism, we propose to use extra antennas at the relays to efficiently remove the asynchronous delays. By applying a linear filter with a delay-dependent structure before the decoder of compute-and-forward, the achievable rate is maximized at all signal-to-noise-ratios (SNRs).
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2013.052013.120256