The Journal of China Universities of Posts and Telecommunications ›› 2020, Vol. 27 ›› Issue (5): 63-68.doi: 10.19682/j.cnki.1005-8885.2020.0029

Special Issue: 人工智能专题

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Low-complexity transmit antenna selection algorithm for massive MIMO

Li Xinmin, Li Guomin, Liu Yang, Guo Tian, Li Pu, Li Yaru   

  1. Xi'an University of Science and Technology
  • Received:2020-03-19 Revised:2020-09-03 Online:2020-10-22 Published:2020-10-23
  • Supported by:
    the National Natural Science Foundation of China

Abstract: Massive multiple input multiple output (MIMO) systems can increase capacity and reliability greatly. However, extremely high hardware costs and computational complexity lead to the demand for reasonable antenna selection. Aiming at the problem that the traditional antenna selection algorithm based on maximizing sum capacity has large complexity and worse bit error rate (BER) performance, a two-step selection algorithm is proposed, which selects a part of the antennas based on the norm-based antenna selection (NBS) firstly, and then selects the antenna based on maximizing capacity via convex optimization. The simulation results show that the improved algorithm has better BER performance than the traditional algorithms. At the same time, it reduces computational complexity greatly.

Key words: massive MIMO, transmit antenna selection, convex optimization

CLC Number: