认知无线电系统中消除异步干扰的最小均方预编码方法

计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 77-79.

认知无线电系统中消除异步干扰的最小均方预编码方法

张宝剑,曲培新

河南科技学院信息工程学院新乡453003 武汉理工大学信息工程学院武汉430070;河南科技学院信息工程学院新乡453003 武汉理工大学信息工程学院武汉430070

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受河南省科技攻关项目(122102310393)资助

Precoding Method of Cancelling Asynchronous Interference for Cognitive Radio System

ZHANG Bao-jian and QU Pei-xin

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

摘要/Abstract

摘要： 当主用户和次用户在地理上存在一定距离时,由于次用户到达主用户系统的信号不同步,会产生异步干扰,此干扰不但影响主用户系统,使得其干扰增大,也会影响次用户系统,使得次用户系统传输速率损失,特别是误比特性能上升。为了消除异步干扰对主次用户系统的影响,提出了一种基于最小均方误差的预编码方法,此方法在预编码阶段就预先消除了异步干扰,并且是在保证主用户的服务质量基础上进行的。通过分析和仿真结果表明,所提方案在对主用户系统干扰受限的条件下,有效提升了次用户系统和次用户系统的容量,同时提高了次用户系统传输的可靠性。

关键词: 认知无线电,频谱共享,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: When the primary users and second user geographically has certain distance,there are asynchronous interferen-ces．The interferences not only influence the primary user system,also can affect second user system.In order to eliminate the influence of asynchronous interference on primary and secondary users systems,this paper put forward a kind of precoding based on the minimum mean square error．Analysis and simulation results show that the proposed scheme in the main user system interference limited conditions,effectively enhances the user’s system and second user system capacity,and improves the reliability of the transmission system of second users system.

Key words: Cognitive radio,Spectrum share,MIMO,Asynchronous interferences

张宝剑,曲培新. 认知无线电系统中消除异步干扰的最小均方预编码方法[J]. 计算机科学, 2013, 40(7): 77-79. https://doi.org/

ZHANG Bao-jian and QU Pei-xin. Precoding Method of Cancelling Asynchronous Interference for Cognitive Radio System[J]. Computer Science, 2013, 40(7): 77-79. https://doi.org/

参考文献

[1] Zhang Y,Lee C,Niyato D,et al.Auction Approaches for Resource Allocation in Wireless Systems:A Survey [J]．IEEE Auction Approaches for Resource Allocation in Wireless Systems:A Survey,IEEE Communications Surveys & Tutorials,2013,9(99):1-22JY〗
[2] Vaze C S,Varanasi M K．The Degree-of-Freedom Regions ofMIMO Broadcast,Interference,and Cognitive Radio Channels With No CSIT[J].IEEE Transaciotns on Information Theory,2012,58(8):5354-5374
[3] Nosrat-Makouei B,Andrews J G,Heath R W.User Arrival inMIMO Interference Alignment Networks [J]．IEEE Transactions on Wireless Communications,2012,11(2):842-851
[4] Gui Xin,Kang Gui-xia,Zhang Ping．Linear Precoding Design in Multi-User Cognitive MIMO Systems with Cooperative Feedback [J]．IEEE Communications Letters,2012,16(10):1580-1583
[5] Xie Xian-zhong,Zheng Pin-lian,Gang Qu．Delay-Tolerance SLNR Precoding to Mitigate Inter-cell Asynchronous Interference[J].Journal of Jilin University (Information Science Edition),2010,28(1):1-7
[6] Zhang Hong-yuan,Mehta N B,Molisch A F．Asynchronous Interference Mitigation in Cooperative Base Station Systems[J].Wireless Communications,IEEE Transactions,2008,7(1):155-165
[7] 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
[8] 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
[9] 胡智伦,何世彪,张新春,等．认知无线电中基于干扰温度的信道容量及中断概率[J]．重庆理工大学学报:自然科学版,2010,24(6):83-88

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