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Maximum Euclidean distance network coded modulation for asymmetric decode-and-forward two-way relaying

Maximum Euclidean distance network coded modulation for asymmetric decode-and-forward two-way relaying
Maximum Euclidean distance network coded modulation for asymmetric decode-and-forward two-way relaying
Network coding (NC) compresses two traffic flows with the aid of low-complexity algebraic operations, hence holds the potential of significantly improving both the efficiency of wireless two-way relaying, where each receiver is collocated with a transmitter and hence has prior knowledge of the message intended for the distant receiver. In this contribution, network coded modulation (NCM) is proposed for jointly performing NC and modulation. As in classic coded modulation, the Euclidean distance between the symbols is maximised, hence the symbol error probability is minimised. Specifically, the authors first propose set-partitioning-based NCM as an universal concept which can be combined with arbitrary constellations. Then the authors conceive practical phase-shift keying/quadrature amplitude modulation (PSK/QAM) NCM schemes, referred to as network coded PSK/QAM, based on modulo addition of the normalised phase/amplitude. To achieve a spatial diversity gain at a low complexity, a NC oriented maximum ratio combining scheme is proposed for combining the network coded signal and the original signal of the source. An adaptive NCM is also proposed to maximise the throughput while guaranteeing a target bit error probability (BEP). Both theoretical performance analysis and simulations demonstrate that the proposed NCM can achieve at least 3 dB signal-to-noise ratio gain and two times diversity gain.
988-998
Chen, Wei
43d5a7bc-ca02-4943-881e-56f901b5f533
Cao, Zhigang
ba5ff979-4ea1-4cbb-81d6-34166bc0d900
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, Wei
43d5a7bc-ca02-4943-881e-56f901b5f533
Cao, Zhigang
ba5ff979-4ea1-4cbb-81d6-34166bc0d900
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, Wei, Cao, Zhigang and Hanzo, Lajos (2013) Maximum Euclidean distance network coded modulation for asymmetric decode-and-forward two-way relaying. IET Communications, 7 (10), 988-998. (doi:10.1049/iet-com.2012.0819).

Record type: Article

Abstract

Network coding (NC) compresses two traffic flows with the aid of low-complexity algebraic operations, hence holds the potential of significantly improving both the efficiency of wireless two-way relaying, where each receiver is collocated with a transmitter and hence has prior knowledge of the message intended for the distant receiver. In this contribution, network coded modulation (NCM) is proposed for jointly performing NC and modulation. As in classic coded modulation, the Euclidean distance between the symbols is maximised, hence the symbol error probability is minimised. Specifically, the authors first propose set-partitioning-based NCM as an universal concept which can be combined with arbitrary constellations. Then the authors conceive practical phase-shift keying/quadrature amplitude modulation (PSK/QAM) NCM schemes, referred to as network coded PSK/QAM, based on modulo addition of the normalised phase/amplitude. To achieve a spatial diversity gain at a low complexity, a NC oriented maximum ratio combining scheme is proposed for combining the network coded signal and the original signal of the source. An adaptive NCM is also proposed to maximise the throughput while guaranteeing a target bit error probability (BEP). Both theoretical performance analysis and simulations demonstrate that the proposed NCM can achieve at least 3 dB signal-to-noise ratio gain and two times diversity gain.

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More information

e-pub ahead of print date: 2 July 2013
Published date: 8 August 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 353775
URI: https://eprints.soton.ac.uk/id/eprint/353775
PURE UUID: a7d51d1c-6c6a-4f1d-bbe5-a4a6e9d11ba6
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 17 Jun 2013 11:15
Last modified: 06 Jun 2018 13:15

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