Nonlinear joint transmit-receive processing for coordinated multi-cell systems: centralized and decentralized

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• 作者：Zhirui Hu (1) (2)
  Chunyan Feng (1)
  Tiankui Zhang (1)
  Qin Niu (1)
  Yue Chen (3)
  
  1. Beijing Key Laboratory of Network System Architecture and Convergence ; Beijing University of Posts and Telecommunications ; Beijing ; 100876 ; China
  2. School of Communication Engineering ; Hangzhou Dianzi University ; Hangzhou ; 310018 ; China
  3. School of Electronic Engineering and Computer Science ; Queen Mary University of London ; London ; E1 4NS ; UK
  
• 关键词：Coordinated multi ; cell ; Centralized coordinated ; Decentralized coordinated ; Joint transmit ; receive processing ; Nonlinear precoding ; Tomlinson ; Harashima precoding (THP)
• 刊名：EURASIP Journal on Advances in Signal Processing
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：2015
• 期：1
• 全文大小：883 KB
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• 刊物主题：Signal, Image and Speech Processing;
• 出版者：Springer International Publishing
• ISSN：1687-6180

文摘

This paper proposes a nonlinear joint transmit-receive (tx-rx) processing scheme for downlink-coordinated multi-cell systems with multi-stream multi-antenna users. The nonlinear joint tx-rx processing is formulated as an optimization problem to maximize the minimum signal-to-interference noise ratio (SINR) of streams to guarantee the fairness among streams of each user. Nonlinear Tomlinson-Harashima precoding (THP) is applied at transmitters, and linear receive processing is applied at receivers, to eliminate the inter-user interference and inter-stream interference. We consider multi-cell systems under two coordinated modes: centralized and decentralized, corresponding to systems with high- and low-capacity backhaul links, respectively. For the centralized coordinated mode, transmit and receive processing matrices are jointly determined by the central processing unit based on the global channel state information (CSI) shared by base stations (BSs). For the decentralized coordinated mode, transmit and receive processing matrices are computed independently based on the local CSI at each BS. In correspondence, we propose both a centralized and a decentralized algorithm to solve the optimization problem under the two modes, respectively. Feasibility and computational complexity of the proposed algorithms are also analyzed. Simulation results prove that the proposed nonlinear joint tx-rx processing scheme can achieve user fairness by equalizing the bit error rate (BER) among streams of each user and the proposed scheme outperforms the existing linear joint tx-rx processing. Moreover, consistent with previous research results, performance of the proposed centralized nonlinear joint tx-rx processing scheme is proved to be better than that of the decentralized nonlinear joint tx-rx processing.