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arxiv: 1112.0805 · v2 · pith:TQMHZ3FInew · submitted 2011-12-04 · 💻 cs.IT · cs.NI· cs.SY· math.IT

Constellation Mapping for Physical-Layer Network Coding with M-QAM Modulation

classification 💻 cs.IT cs.NIcs.SYmath.IT
keywords m-qammappingschemeratecodingconstellationerrormethod
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The denoise-and-forward (DNF) method of physical-layer network coding (PNC) is a promising approach for wireless relaying networks. In this paper, we consider DNF-based PNC with M-ary quadrature amplitude modulation (M-QAM) and propose a mapping scheme that maps the superposed M-QAM signal to coded symbols. The mapping scheme supports both square and non-square M-QAM modulations, with various original constellation mappings (e.g. binary-coded or Gray-coded). Subsequently, we evaluate the symbol error rate and bit error rate (BER) of M-QAM modulated PNC that uses the proposed mapping scheme. Afterwards, as an application, a rate adaptation scheme for the DNF method of PNC is proposed. Simulation results show that the rate-adaptive PNC is advantageous in various scenarios.

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