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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Veröffentlicht in:	IEEE transactions on communications Jg. 61; H. 7; S. 2704 - 2712
Hauptverfasser:	Najafi, H., Damen, M. O., Hjorungnes, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.07.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
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Zusammenfassung:	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).
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2013.052013.120256