计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 74-76.

• 网络与通信 • 上一篇    下一篇

消除多基站时变信道异步干扰的块对角化算法

李素若   

  1. 武汉理工大学计算机科学与技术学院 武汉430070 荆楚理工学院 荆门448000
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受黑龙江省教育厅科学研究项目基金(12521146)资助

Block Diagonalization Algorithm of Eliminatin g Multiple Base Stations Time-varying Channel Asynchronous Interference

LI Su-ruo   

  • Online:2018-11-16 Published:2018-11-16

摘要: 由于信道状态信息的时变特性和信道反馈误差的共同影响,使得以前波束成形算法无法完全消除小区间的干扰,特别是异步干扰,从而造成小区边缘用户传输速率和服务质量的下降。针对此问题,通过对信道时变特性的研究和反馈误差统计特性的研究,提出了一种考虑信道时变统计特性的基于块对角化的波束成形方案,此方案在基站端对所发送的信号进行编码,对将要造成的异步干扰进行预消除,从而达到提高小区边缘用户服务质量的效果。仿真结果表明,此方案有效抑制了由信道时变引起的干扰,提高了系统的容量。

关键词: 多小区,有限反馈,多输入多输出,异步干扰 中图法分类号TN929.53文献标识码A

Abstract: Due to the combined impact of combined impact of time-varying characteristics of channel state information and channel feedback error,beamforming algorithm can’t completely eliminate the interference between cells,in particular,asynchronous interference,resulting in decline of cell edge user’s transmission rate and the service quality.Aiming at this problem,through studying the channel time-varying characteristics and statistical characteristics of the feedback error,this article put forward a kind of beamforming scheme which considers the statistical characteristics of time varying channel,and is based on block diagonalization.This scheme on the base station side sends the signal coding to eliminate the asynchronous interference so as to improve the cell edge user service quality.The simulation results show that this scheme effectively restrains the disturbance caused by the time-varying channel,improves the capacity of the system.

Key words: Multi-cell,Limited feedback,MIMO,Asynchronous inferences

[1] Hand D,Yu W.Coordinated Beamforming for the Multi-cellMulti-antenna Wireless System[C]∥Proc.CISS.Princeton,NJ,2008
[2] Zhang H,Mehta N B,Molisch A F,et al.On the Fundamen-tally Asynchronous Nature of Interference in Cooperative Base Station Systems[C]∥IEEE International Communication Confe-rence.Glasgow,Scotland,June 2007
[3] Zhang Hong-yuan,Mehta N B,Molisch A F.Asynchronous Interference Mitigation in Cooperative Base Station Systems[J].IEEE Transactions on Wireless Communications,2008,7(1):155-165
[4] Azzam I H,Adve R S.Linear Precoding for Multiuser MIMOSystems with Multiple Base Stations[C]∥IEEE International Conference on Communications(ICC ’09).June 2009
[5] Ravindran N,Jindal N. Limited Feedback-based Block Diagonal-ization for the MIMO Broadcast Channel[J].IEEE J.Sel.Areas Commun.,2008,26(8):1473-1482
[6] Park H,Park S-H,Lee I.Weighted Sum MSE Minimization under per-BS Power Constraint for Network MIMO Systems[J].IEEE Communications Letters,2011,16(3):360-363
[7] 赵伟,袁超伟,张金波.MIMO广播有限反馈系统中联合预编码方法 [J].北京邮电大学学报,2012,35(2):24-27
[8] Huang Yong-wei,Li Qiang,Ma Wing-Kin,et al.Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios [J].IEEE Transactions on Signal Processing,2012,60(1):527-533
[9] Zhang Lan,Liang Ying-chang,Xin Yan,et al.Robust Cognitive Beamforming with Partial Channel State Information [J].IEEE Transactions on communications,2009,8(8):4143-4153
[10] Lee K-J,Lee I.MMSE Based Block Diagonalization for Cognitive Radio MIMO Broadcast Channels [J].IEEE Transactions on Wireless Communications,2011,10(10):3139-3144
[11] 李应博,吕国成,张晓宁,等.基于干扰控制的多小区分布式波束成形[J].重庆邮电大学学报:自然科学版,2012,24(5):599-603

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