计算机科学 ›› 2017, Vol. 44 ›› Issue (5): 71-74.doi: 10.11896/j.issn.1002-137X.2017.05.013

• 网络与通信 • 上一篇    下一篇

采用预编码的GSM网络最大互信息优化方法研究

魏霖静,宁璐璐,练智超,代永强,王联国   

  1. 甘肃农业大学信息科学技术学院 兰州730070,南洋理工大学生物科学学院 新加坡639798,南京理工大学计算机科学与工程学院 南京210094,甘肃农业大学信息科学技术学院 兰州730070;兰州大学信息科学与工程学院 兰州730000,甘肃农业大学信息科学技术学院 兰州730070
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金项目(61063028,31560378),江苏省自然科学基金青年基金(BK20150784),中国博士后面上资助

Research on Maximum Mutual Information Optimization in GSM Networks with Precoding

WEI Lin-jing, NING Lu-lu, LIAN Zhi-chao, DAI Yong-qiang and WANG Lian-guo   

  • Online:2018-11-13 Published:2018-11-13

摘要: 为了提高广义空间调制(GSM)互信息的性能,提出了一种新的基于椭球算法的预编码方案。首先,为了对含有互信息的预编码器进行优化,推导出了有限字符输入下的GSM互信息解析表达式。在最大化GSM互信息的过程中,为了解决联合预编码设计的非凸耦合问题,将GMS系统转换成虚拟的多输入多输出(MIMO)系统。然后,在考虑所有子信道功率约束的条件下,使用了扩展的椭球算法。实验结果表明,提出的预编码方案大大提升了GSM互信息的性能。

关键词: 广义空间调制(GSM),有限字符输入,互信息,预编码,椭球算法

Abstract: In order to improve the the performance of generalized spatial modulation (GSM) mutual information,a new precoding scheme based on the ellipsoid algorithm was proposed.First,in order to optimize the preencoder with mutual information,the analytical expression of GSM mutual information under finite character input is derived.In the process of maximizing the mutual information of GSM,the GMS system is transformed into a virtual multi-input multi-output (MIMO) system in order to solve the non-convex coupling problem of joint precoding design.Then,under the condition of considering all the sub-channel power constraints,the extended ellipsoid algorithm is used.The experimental results show that the proposed precoding scheme greatly improves the performance of GSM mutual information.

Key words: Generalized spatial modulation (GSM),Finite character input,Mutual information,Precoding,Ellipsoid algorithm

[1] LIU J L,CHEN Z G,WANG L.An Adaptive Modulation Algorithm with Low Complexity for Generalized Spatial Modulation[J].Journal of Xi’an Jiaotong University,2016,0(4):48-53.(in Chinese) 刘健伶,陈志刚,王磊.一种自适应广义空间调制及其低复杂度算法[J].西安交通大学学报,2016,0(4):48-53.
[2] LIU W L,WANG N,JIN M L.Sparse Detection Algorithm for Generalized Spatial Modulation Systems[J].Journal of Signal Processing,2013,9(9):1233-1237.(in Chinese) 刘文龙,王楠,金明录.广义空间调制系统的稀疏检测算法[J].信号处理,2013,9(9):1233-1237.
[3] SHA J,DU Y Y.Performance Analysis of GSM Based on Labled Stochastic Petri Net[J].Computer Science,2012,9(7):29-31.(in Chinese) 沙静,杜玉越.基于标号随机Petri网的GSM性能分析[J].计算机科学,2012,9(7):29-31.
[4] LU K S,YAO J G.Generalized Spatial Modulation Scheme to Multi-user Downlink[J].Video Engineering,2015,9(20):22-25.(in Chinese) 陆克思,姚建国.多用户下行链路使用广义空间调制的方案[J].电视技术,2015,9(20):22-25.
[5] ZHU Y J,FU H S,CAI W B.Low complexity adaptive genera-lized spatial modulation for visible light communication[J].Journal of Jilin University(Engineering and Technology Edition),2015,5(6):2080-2084.(in Chinese) 朱义君,付红双,蔡文炳.可见光通信中低复杂度自适应广义空间调制算法[J].吉林大学学报(工学版),2015,5(6):2080-2084.
[6] TIAN X J,YUAN C W,HU Z W,et al.Phase Rotation Preco-ding for Orthogonalized Spatial Multiplexing System[J].Journal of Beijing University of Posts and Telecommunications,2010,3(6):68-71.(in Chinese) 田心记,袁超伟,胡紫巍,等.正交空间复用系统的相位旋转预编码[J].北京邮电大学学报,2010,3(6):68-71.
[7] YANG Y,JIAO B.Information-guided channel-hopping for high data rate wireless communication[J].IEEE Communications Letters,2008,2(4):225-227.
[8] GUAN X,CAI Y,YANG W.On the Mutual Information and Precoding for Spatial Modulation with Finite Alphabet[J].IEEE Wireless Communication Letters,2013,2(4):383-386.
[9] YANG H,HE Y Z.Correlated Channel Capacity of Virtual MIMO Based on Distributed Satellites[J].Computer Science,2015,2(6):276-278.(in Chinese) 杨欢,何元智.分布式星群下模拟MIMO相关信道容量分析[J].计算机科学,2015,2(6):276-278.
[10] MALEKI M,BAHRAMI H R,BEYGI S,et al.Space Modulation With CSI:Constellation Design and Performance Evaluation[J].IEEE Transactions on Vehicular Technology,2013,2(62):1623-1634.
[11] ZENG W,XIAO C,LU J.A Low-Complexity Design of Linear Precoding for MIMO Channels with Finite-Alphabet Inputs[J].Wireless Communications Letters IEEE,2012,1(1):38-41.
[12] CHEN P L,LIU P.MIMO Broadcast Transmission SchemeBased on BD Precoding and TDM[J].Computer Science,2014,1(11):168-170.(in Chinese) 陈培磊,刘萍.基于BD预编码和时分复用的MIMO广播传输方案[J].计算机科学,2014,1(11):168-170.
[13] HAN X Q.Research on MIMO Receiver in the Downlink ofLTE[D].Xi’an:Xidian University,2009.(in Chinese) 韩小琴.LTE下行MIMO技术的接受算法研究[D].西安:西安电子科技大学,2009.
[14] MASOUROS C.Improving the Diversity of Spatial Modulation in MISO Channels by Phase Alignment[J].IEEE Communications Letters,2014,8(5):729-732.
[15] FGEDI,PTER.MIMO Gaussian Channels With Arbitrary In-puts:Optimal Precoding and Power Allocation[J].IEEE Tran-sactions on Information Theory,2010,6(3):1070-1084.
[16] LI L,LU X X,YIN Z Q,et al.Low-Complexity Adaptive Modulation Algorithm for MIMO-OFDM Sytems Based on Singular Value Decomposition[J].Journal of Chongqing University of Technology (Natural Science),2016,0(8):129-136.(in Chnese) 李莉,卢晓轩,殷志强,等.基于奇异值分解的低复杂度MIMO-OFDM系统自适应调制算法[J].重庆理工大学学报(自然科学),2016,0(8):129-136.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!