北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (6): 86-91.doi: 10.13190/j.jbupt.2016-192

• 研究报告 • 上一篇    下一篇

多基站协作异步干扰抑制预编码设计

肖海林1,2, 王茹2, 颜晓娟2, 蒋为2   

  1. 1. 温州大学 物理与电子信息工程学院, 浙江 温州 325035;
    2. 桂林电子科技大学 认知无线电与信号处理教育部重点实验室, 广西 桂林 541004
  • 收稿日期:2016-08-22 出版日期:2017-12-28 发布日期:2017-12-28
  • 作者简介:肖海林(1976-),男,教授,博士生导师,E-mail:xhl_xiaohailin@163.com.
  • 基金资助:
    国家自然科学基金项目(61472094,61261018);广西自然科学基金杰出青年基金项目(2014GXNSFGA118007);广西自然科学基金重点项目(2011GXNSFD018028);东南大学移动通信重点实验室开放基金项目(2015D05)

Pre-Coding Design of Asynchronous Interference Suppression for Multi-Base Station Cooperative

XIAO Hai-lin1,2, WANG Ru2, YAN Xiao-juan2, JIANG Wei2   

  1. 1. College of Physics and Electronic Information Engineering, Wenzhou University, Zhejing Wenzhou 325035, China;
    2. Key Laboratory of Cognitive Radio and Information Processing(Guilin University of Electronic Technology), Ministry of Education, Guangxi Guilin 541004, China
  • Received:2016-08-22 Online:2017-12-28 Published:2017-12-28
  • Supported by:
     

摘要: 在多基站协作通信系统中,针对基站与用户间距离差异将导致用户接收信号的异步干扰的问题,提出一种基于粒子群优化算法的异步干扰抑制预编码设计.该设计将预编码矩阵转化为寻优粒子位置参数矩阵,通过粒子间智能学习更新优化位置参数,调节适应度函数,最大化用户信干噪比,抑制异步干扰.数值分析结果表明,相对于改进的块对角化算法,所提算法使系统总速率提高了2~7 bit/s,且具有很好的收敛性.

关键词: 多基站协作, 异步干扰, 粒子群优化算法, 预编码, 块对角化

Abstract: In multi-base station cooperative systems, the distances are different between the base stations and the users which will result in asynchronous interference of users received signals. To suppress asynchronous interference, a pre-coding design for muti-base station cooperative communication is proposed based on particle swarm optimization algorithm. The pre-coding design converts the pre-coding matrixes into the position parameters matrixes of the optimization particle, updates the optimization position parameters by intelligent learning among the particles, and adjusts the fitness function to maximize the signal to interference plus noise ratio of user. Thus, the pre-coding design can be used to suppress asynchronous interference of users received signals. Numerical simulations show that, compared with the improved block diagonalization algorithm, the proposed algorithm the proposed algorithm will increase the sum rate of system 2~7 bit/s with a good convergence.

Key words: multi-base station cooperative, asynchronous interference, particle swarm optimization algorithm, pre-coding, block diagonalization

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