A differential ML combiner for differential amplify-and-forward system in time-selective fading channels

Lou, Yi, Ma, Yong-Kui, Yu, Qi-Yue, Zhao, Hong-Lin, and Xiang, Wei (2016) A differential ML combiner for differential amplify-and-forward system in time-selective fading channels. IEEE Transactions on Vehicular Technology, 65 (12). pp. 10157-10163.

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Abstract

We propose a new differential maximum-likelihood (DML) combiner for noncoherent detection of the differential amplify-and-forward (D-AF) relaying system in the time-selective channel. The weights are computed based on both the average channel quality and the correlation coefficient of the direct and relay channels. Moreover, we derive a closed-form approximate expression for the average bit error rate (BER), which is applicable to any single-relay D-AF system with fixed weights. Both theoretical and simulated results are presented to show that the time-selective nature of the underlying channels tends to reduce the diversity gains at the low-signal-to-noise-ratio (SNR) region, resulting in an asymptotic BER floor at the high-SNR region. Moreover, the proposed DML combiner is capable of providing significant BER improvements compared with the conventional differential detection (CDD) and selection-combining (SC) schemes.

Item ID: 47115
Item Type: Article (Research - C1)
ISSN: 1939-9359
Keywords: amplify and forward (AF), differential modulation, non-coherent detection, performance analysis, time-varying channels
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This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0

Date Deposited: 25 Jan 2017 07:30
FoR Codes: 10 TECHNOLOGY > 1005 Communications Technologies > 100510 Wireless Communications @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services @ 100%
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