中国邮电高校学报(英文版) ›› 2016, Vol. 23 ›› Issue (6): 76-81.doi: 10.1016/S1005-8885(16)60073-0

• Wireless • 上一篇    下一篇

Low complexity robust linear transceiver design for MIMO interference channel

耿烜,李从改,刘锋   

  1. 上海海事大学
  • 收稿日期:2016-08-06 修回日期:2016-12-22 出版日期:2016-12-31 发布日期:2016-12-30
  • 通讯作者: 耿烜 E-mail:xuangeng@shmtu.edu.cn
  • 基金资助:
    基于非线性处理的多小区MIMO鲁棒预编码研究;具有块对角消息拓扑的无线分层网络自由度研究;半双工无线链状中继网络的调度理论研究;无线MIMO预编码技术在近海海洋通信中的研究;基于压缩感知及负载均衡的集群网络视频指挥调度系统研究

Low complexity robust linear transceiver design for MIMO interference channel

  • Received:2016-08-06 Revised:2016-12-22 Online:2016-12-31 Published:2016-12-30
  • Contact: Xuan GENG E-mail:xuangeng@shmtu.edu.cn

摘要: This paper focuses on the linear transceiver design for multiple input multiple output (MIMO) interference channel (IC), in which a bounded channel error model is assumed. Two optimization problems are formulated as minimizing maximum per-user mean square error (MSE) and sum MSE with the per-transmitter power constraint. Since these optimization problems are not jointly convex on their variable matrices, the transmitter and receiver can be optimized alternately respectively. For each matrix, an approximated approach is presented where the upper bound of constraint is derived so that it has less semidefinite, thus the problem can be viewed as second-order-cone programming (SOCP) and gets less computational complexity. Compared with the conventional S-procedure method, the proposed approach achieves similar performance, but reduces the complexity significantly, especially for the system with large scale number of antennas.

关键词: MIMO interference channel, robust linear transceiver, SOCP

Abstract: This paper focuses on the linear transceiver design for multiple input multiple output (MIMO) interference channel (IC), in which a bounded channel error model is assumed. Two optimization problems are formulated as minimizing maximum per-user mean square error (MSE) and sum MSE with the per-transmitter power constraint. Since these optimization problems are not jointly convex on their variable matrices, the transmitter and receiver can be optimized alternately respectively. For each matrix, an approximated approach is presented where the upper bound of constraint is derived so that it has less semidefinite, thus the problem can be viewed as second-order-cone programming (SOCP) and gets less computational complexity. Compared with the conventional S-procedure method, the proposed approach achieves similar performance, but reduces the complexity significantly, especially for the system with large scale number of antennas.

Key words: MIMO interference channel, robust linear transceiver, SOCP