计算机应用 ›› 2011, Vol. 31 ›› Issue (08): 2025-2028.DOI: 10.3724/SP.J.1087.2011.02025

• 网络与通信 • 上一篇    下一篇

信道非对称下的联合预编码方案

郑丽清,黄开枝,李印海   

  1. 国家数字交换系统工程技术研究中心 研究生队,郑州450002
  • 收稿日期:2011-01-13 修回日期:2011-03-13 发布日期:2011-08-01 出版日期:2011-08-01
  • 通讯作者: 郑丽清
  • 作者简介:郑丽清(1987-),女,福建莆田人,硕士研究生,主要研究方向:第四代移动通信;黄开枝(1973-),女,安徽来安人,副教授,主要研究方向:第三代移动通信、异构无线网络安全;李印海(1964-),男,河南郑州人,副研究员,主要研究方向:异构无线网络安全、软交换、流量均衡。
  • 基金资助:

    国家科技重大专项(2008ZX03003-004);国家973计划项目(2007CB310608)

Joint precoding scheme under condition of channel asymmetry

Li-qing ZHENG,Kai-zhi HUANG,Yin-hai LI   

  1. Graduate School, National Digital Switching System Engineering and Technological Research Center, Zhengzhou Henan 450002, China
  • Received:2011-01-13 Revised:2011-03-13 Online:2011-08-01 Published:2011-08-01
  • Contact: Li-qing ZHENG

摘要: 在多基站(BS)协作系统中,信道的非对称导致相互协作的两基站从协作中获得的性能增益不一样。因此,在选择协作基站的过程中,当一方想合作,而另一方更想与其他基站合作的时候,分簇问题变得非常困难,使整个系统性能受限。为解决此问题,定义了协同度的概念,针对此情况提出了一种重叠分簇方案,并在此基础上设计了一种联合迫零—汤姆林森—哈拉希玛预编码(ZF-THP)算法。该方案通过对局部基站进行重叠分簇调整,并利用THP技术消除重叠基站带来的干扰。仿真分析表明,该方案较好地解决了协同度非对称性导致的分簇矛盾,提高了系统的频谱效率,并改善了用户的公平性能。

关键词: 多小区联合处理, 分簇, 预编码, 信道状态信息

Abstract: In a Base Station (BS) cooperation system, the capacity gains of two BSs by cooperating with each other are different owing to the channel asymmetry. Thus, in the process of selecting cooperative BS, when one BS wants to coordinate but another does not want to cooperate with it and prefers others, it will be difficult to judge whether to group the two into a cluster or not and the whole system is capacity-limited. To demonstrate this, the authors proposed an overlapped clustering scheme and then designed a joint precoding algorithm called Zero Force-Tomlinson-Harashima Precoding (ZF-THP) scheme. In this scheme, several BSs were adjusted to be overlapped and THP technique was used to eliminate the interference caused by overlapped BSs. The simulation results show that the proposed scheme solves the clustering contradiction well, efficiently increases the system capacity and enhances the system fairness.

Key words: Multi-cell Cooperative Processing (MCP), clustering, precoding, Channel State Information (CSI)

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