期刊文献+

消除多基站时变信道异步干扰的块对角化算法

Block Diagonalization Algorithm of Eliminatin gMultiple Base Stations Time-varying Channel Asynchronous Interference
下载PDF
导出
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。 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 particu- lar,asynchronons 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 var- ying channel,and is based on block diagonalization. This scheme on the base station side sends the signal coding to elim- inate 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 sys- terrL
作者 李素若
出处 《计算机科学》 CSCD 北大核心 2013年第7期74-76,共3页 Computer Science
关键词 多小区 有限反馈 多输入多输出 异步干扰 Multi-cell, Limited feedback, MIMO, Asynchronous inferences
  • 相关文献

参考文献11

  • 1Hand D, Yu W. Coordinated Beamforming for the Multi-cell Multi-antenna Wireless System[C]///Proc. CISS. Princeton, NJ, 2008.
  • 2Zhang H, Mehta N B,Moliseh A F, et al. On the Fundamen-tally Asynehronous Nature of Interference in Cooperative Base Sta- tion Systems [C]//IEEE International Communication Confe- rence. Glasgow, Scotland,June 2007.
  • 3Zhang Hong-yuan, Mehta N B, Molisch A F. Asynchronous In- terference Mitigation in Cooperative Base Station Systems[J]. IEEE Transactions on Wireless Communications, 2008, 7 ( 1 ) 155-165.
  • 4Azzam I H, Adve R S. Linear Precoding for Multiuser MIMO Systems with Multiple Base Stations[C]//IEEE International Conference on Communications(ICC '09). June 2009.
  • 5Ravindran 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.
  • 6Park H, Park S-H, Lee I. Weighted Sum MSE Minimization un- der 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. 被引量:4
  • 8Huang Yong-wei, Li Qiang, Ma Wing-Kin, et al. Robust Multi- cast Beamforming for Spectrum Sharing-Based Cognitive Radios [J]. IEEE Transactions on Signal Procesaing,2012,60(1):527-533.
  • 9Zhang Lan, Liang Ying-chang, Xin Yan, et al. Robust Cognitive Beamforrning with Partial Channel State Information [J]. IEEE Transactions on communications, 2009,8(8) : 4143-4153.
  • 10Lee 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.

二级参考文献20

  • 1Huang Yongming,Yang Luxi,Bengtsson M.A limited feedback joint precoding for amplify-and-forward relaying[J].IEEE Trans on Signal Processing,2010,58(3):1347-1357.
  • 2Xu Wei,Dong Xiaodai,Lu Wusheng.MIMO relaying broadcast channels with linear precoding and quantized channel state information feedback[J].IEEE Trans on Signal Processing,2010,58(10):5223-5245.
  • 3Jinal N.MIMO broadcast channels with finite-rate feed-back[J].IEEE Trans on Information Theory,2006,56(11):5045-5060.
  • 4Ravindran N,Jindal N.Limited feedback-based block di-agonalization for the MIMO broadcast channel[J].IEEE Trans on Selected Areas in Communications,2008,26(8):1473-1482.
  • 5Dabbagh A D,Love D J.Mutiple antenna MMSE based downlink precoding with quantized feedback or channel mismatch[J].IEEE Trans on Communications,2008,56(11):1859-1868.
  • 6Gupta A,Nagar D.Matrix variate distributions[M].London:Chapman,2000:165-170.
  • 7Skovgaard C S,Rajiv A,Elisabeth D C,et al.Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design[C]//ICC2009.Dresden:IEEE Press,2009:1-6.
  • 8Muirhead R J.Aspects of multivariate statistical theory[M].New York:Wiley-Interscience,1982:65-83.
  • 9GESBERT D,HANLY S,HUANG H,et al.Multi-cell MI-MO cooperative networks:A new look at interference[J].IEEE Journal on Selected Areas in Communications,2010,28(9):1380-1408.
  • 10DAHROUJ H,YU Wei.Coordinated beamforming for the-multicell multi-antenna wireless system[J].IEEE Transac-tions on Wireless Communications,2010,9(5):1748-1759.

共引文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部