Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (5): 149-152.doi: 10.13190/j.jbupt.2018-181

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An Adaptive Massive MIMO Signal Detection Algorithm Based on Expectation Propagation

OU Ze-liang, YANG Hong-wen   

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2018-08-08 Online:2018-10-28 Published:2018-11-20

Abstract: Signal detection should take account of both computational complexity and performance in large-scale antenna array while traditional algorithms may not satisfy that requirement. Combined with cyclic redundancy check (CRC), an adaptive signal detection algorithm based on expectation propagation for massive multiple input multiple output (MIMO) systems was proposed. Simulation results showed that the proposed algorithm can keep good performance while reducing computational complexity.

Key words: massive multiple input multiple output, expectation propagation, adaptive, cyclic redundancy check

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