Asynchronous Physical-layer Network Coding Scheme for Broadband Two-Way Relay Channels

Xu, Kui; Xu, Youyun

doi:10.1007/s11277-016-3257-1

Cited by 2 publications

(2 citation statements)

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“…We make use of the message from each evidence node as in (7) and (8) to derive the message update rules for the Tanner graph in Fig. 3.…”

Section: B Message Update Rulesmentioning

confidence: 99%

“…This effectively turns the time-domain asynchronous channel into multiple frequency-domain synchronous channels [7]. Although frequency-domain PNC can solve the symbol asynchrony problem, its performance is sensitive to the relative carrier frequency offset (CFO) between the two end nodes [8]. The CFO may cause inter-carrier interference (ICI), which may greatly degrade the system performance of a FPNC system.…”

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confidence: 99%

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An Optimal Decoding Strategy for Physical-Layer Network Coding Over Multipath Fading Channels

Zhang

Liew

2015

IEEE Trans. Veh. Technol.

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We present an optimal decoder for physical-layer network coding (PNC) in multipath fading channels. Previous studies on PNC have largely focused on the single path case. For PNC, multipath not only introduces inter-symbol interference (ISI), but also cross-symbol interference (Cross-SI) between signals simultaneously transmitted by multiple users. To overcome these problems, the decoder at the relay of our PNC design makes use of a belief propagation (BP) algorithm to decode the multipath-distorted signals received from multiple users into a network-coded packet. We refer to our multipath decoding algorithm as MP-PNC. Our simulation results show that, benchmarked against synchronous PNC over a one-path channel, the bit error rate (BER) performance penalty of MP-PNC under a two-tap ITU channel model can be kept within 0.5 dB. Moreover, it outperforms a MUD-XOR algorithm by 3 dB (MUD-XOR decodes the individual information from both users explicitly before performing the XOR network-coding mapping). Although the framework of fadingchannel PNC presented in this paper is demonstrated based on two-path and three-path channel models, our algorithm can be extended to cases with more than three paths. Index Termsphysical-layer network coding, multipath fading, symbol misalignment, belief propagation,

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“…We make use of the message from each evidence node as in (7) and (8) to derive the message update rules for the Tanner graph in Fig. 3.…”

Section: B Message Update Rulesmentioning

confidence: 99%

mentioning

confidence: 99%