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 (2): 92-96.doi: 10.13190/j.jbupt.2017-044

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Robust Double-Layer Precoding Algorithm for Multi-Cell Downlink MIMO Based on Partial Collaboration

LAN Xian-gui1, CAO Jie1,2, LIAO Yong2   

  1. 1. School of Mchanical and Electronic Engineering, East China University of Technology, Nanchang 330013, China;
    2. Center of Communication and TT & C, Ministry of Education, Chongqing University, Chongqing 400044, China
  • Received:2017-04-06 Online:2018-04-28 Published:2018-03-17

Abstract: In order to reduce the feedback bits of channel state information (CSI) in multi-cell cooperative multiple input multiple output (MIMO) system, a multi-cell partial cooperative MIMO precoding algorithm is proposed. Firstly, a joint channel error model including channel estimation error, quantization error and delay error, is established. Then, by using zero forcing and signal to leakage and interference ratio, a double-layer MIMO robust precoding algorithm is proposed. Numerical analysis and simulation results show that, compared with the traditional multi-cell MIMO system precoding algorithms, the bit error rate and the sum rate capacity are slightly worse, but the proposed algorithm has great advantage in CSI feedback bits.

Key words: multi-cell, multiple input multiple output, partial cooperative, precoding

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