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SER Analysis for SWIPT-Enabled Differential Decode-and-Forward Relay Networks

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Document pages: 30 pages

Abstract: In this paper, we analyze the symbol error rate (SER) performance of thesimultaneous wireless information and power transfer (SWIPT) enabled three-nodedifferential decode-and-forward (DDF) relay networks, which adopt the powersplitting (PS) protocol at the relay. The use of non-coherent differentialmodulation eliminates the need for sending training symbols to estimate theinstantaneous channel state information (CSI) at all network nodes, andtherefore improves the power efficiency, as compared with the coherentmodulation. However, performance analysis results are not yet available for thestate-of-the-art detectors such as the maximum-likelihood detector (MLD) andapproximate MLD. Existing works rely on the Monte-Carlo simulation method toshow the existence of an optimal PS ratio that minimizes the overall SER. Inthis work, we propose a near-optimal detector with linear complexity withrespect to the modulation size. We derive an approximate SER expression andprove that the proposed detector achieves the full diversity order. Based onour expression, the optimal PS ratio can be accurately estimated withoutrequiring any Monte-Carlo simulation. We also extend the proposed detector andits SER analysis for adopting the time switching (TS) protocol at the relay.Simulation results verify the effectiveness of our proposed detector and theaccuracy of our SER results in various network scenarios for both PS and TSprotocols.

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