期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

多用户MIMO下行链路自适应反馈分布式调度算法 被引量：2

Distributed scheduling algorithm for multiuser MIMO downlink with adaptive feedback
下载PDF
导出
摘要 针对多用户MIMO下行链路,提出一种通信方式与反馈开销动态变化的分布式调度算法。采用该方法,各移动用户根据信道状态选择与基站的通信方式,包括波束形成与空分复用,并向基站自适应反馈信道信息;基站根据反馈信息选择用户子集与之通信,并采用预编码方法消除共道干扰。该算法由基站和移动台联合完成用户调度,系统反馈开销由各用户的信道状态共同决定。与已有方法相比,该算法能够以合理的反馈开销获得更高的系统容量和更好的误码性能。 We propose a distributed scheduling algorithm for multiuser MIMO downlink with dynamic variation of transmission mode and feedback cost. With this algorithm each Mobile Station （MS） chooses transmission scheme, including beamforming and spatial multiplexing according to its channel state, then, feeds back the Channel State Information （CSI） to the Base Station （BS）. Based on the received SCI, BS selects user subset to communicate with and implements precoding method to eliminate Co-Channel Interference （CCI）. The user scheduling is carried out by MS and BS corporately. The cost of the system feedback depends on each MS＇s channel state. Compared with existing methods, the proposed algorithm can achieve higher system capacity and better Bit Error Rate （BER） performance with appropriate feedback load.
作者 李钊 杨家玮 姚俊良 陈婷
机构地区 西安电子科技大学综合业务网理论及关键技术国家重点实验室
出处 《吉林大学学报（工学版）》 EI CAS CSCD 北大核心 2011年第2期514-519,共6页 Journal of Jilin University:Engineering and Technology Edition
基金 国家杰出青年科学基金项目(60725105) '973'国家重点基础研究发展规划项目(2009CB320404) 长江学者和创新团队发展计划(IRT0852) '863'国家高技术研究发展计划项目(2007AA01Z288) 国家自然科学基金项目(60902032) 高等学校引智计划项目(B08038) 教育部科学技术研究重点项目(107103) 科技部重大专项(2009ZX03007-004) 中央高校基本科研业务费专项基金项目(K50510010022)
关键词 通信技术 多用户 MIMO系统 下行链路 调度 预编码 反馈 communication multiuser MIMO system downlink scheduling precoding teedback
分类号 TN929.5 [电子电信—通信与信息系统]
  • 相关文献

参考文献14

  • 1Jindal N,Vishwanath S,Goldsmith A. On the duali ty of Gaussian multiple-access and broadcast chan nels[J]. IEEE Trans lnf Theory,2004,50(5):768 783.
  • 2Spencer Q H,Swindlehurst A L, Haardt M. Zero- forcing methods for downlink spatial multiplexing in multiuser MIMO channels [J]. IEEE Trans Signal Processing, 2004,52 (2) : 461-471.
  • 3Costa M. Writing on dirty paper[J]. IEEE Trans Inf Theory,1983,29(3) :439-441.
  • 4Choi L U, Murch R D. A transmit preprocessing technique for multiuser MIMO systems using a de composition approach[ J]. IEEE Trans Wireless Commun,2004,3(1) :20-24.
  • 5Yoo T, Goldsmith A. On the optimality of multian- tenna broadcast scheduling using zero-forcing beam- forming[J]. IEEE Journal Selected Areas Commun, 2006,24(3) : 528-541.
  • 6Zhang Xiao-jie, Lee J,Liu Hua-ping. Low complexi- ty multiuser MIMO scheduling with channel deeom-position[C]//WCNC'07. Hong Kong: IEEE Press, 2007.
  • 7Chen R H, Andrews J G, Heath R W, et al. Low- complexity user and antenna selection for multiuser MIMO systems with block diagonalization[C]//IC- ASSP07. Honolulu : IEEE Press, 2007.
  • 8Lee H,Shin M,Lee C. An eigen-based MIMO mul- tiuser scheduler with partial feedback information [J]. IEEE Communications Letters, 2005,9(4): 328-330.
  • 9Xu Wei, Zhao Chun mini, Ding Zhi. Efficient user scheduling under low rate feedback for correlated MIMO broadcast channels [C]// ICC'08. Beijing: IEEE Press,2008.
  • 10Zhang Wei, Letaief K B. MIMO broadcast schedu- ling with limited feedback[J]. IEEE Journal Select- ed Areas Commun,2007,25(7) :1457-1467.

同被引文献26

  • 1MARSCH P,FETTWEIS G.Static Clustering for Cooperative Multi-Point(CoMP)in Mobile Communications[C]//ACM Multimedia Conference.New York:IEEE Trans Inf Theory Press,2011:40-69.
  • 2PERVAIZ H,QIANG N.User Preferences-Adaptive Dynamic Network Selection Approach in Cooperating Wireless Networks:A Game Theoretic Perspective[C]//The Technology of Computer Communication.UK:Cambridge University Press,2012:10-32.
  • 3PATCHARAMANEEPAKORN P,DOUFEXI A,ARMOUR S.Reduced Complexity Joint User and Receive Antenna Selection Algorithms for SLNR-Based Precoding in MU-MIMO Systems[C]//Electronic Information Technology Proceedings.CAN:University of Alberta Press,2012:19-40.
  • 4Bauch G,Alexiou A.MIMO technologies for the wireless future[C]∥Proceedings of the IEEE International Symposium on Personal Indoor and Mobile Radio Communications(PIMRC),Cannes,2008:1-6.
  • 5Gesbert D,Kountouris M,Heath R W,et al.Shifting the MIMO paradigm[J].IEEE Signal Processing Magazine,2007,24(5):36-46.
  • 6Gesbert D,Shafi M,Shiu D,et al.From theory to practice:an overview of MIMO space-time coded wireless systems[J].IEEE Journal on Selected Areas in Communications,2003,21(3):281-302.
  • 7Yoo T,Goldsmith A.On the optimality of multi antenna broadcast scheduling using zero-forcing beamforming[J].IEEE Journal on Selected Areas in Communications,2006,24(3):528-541.
  • 8Wang M,Li F,Evans J S.Modified semi-orthogonal user scheduling scheme with optimized user selection parameter[C]∥Proceedings of the IEEE Communications Theory Workshop(AusCTW),Adelaide,2013:111-115.
  • 9Mao J,Gao J,Liu Y,et al.Simplified semi-orthogonal user selection for MU-MIMO systems with ZFBF[J].IEEE Wireless Communications Letters,2012,1(1):42-45.
  • 10Ji T,Zhou C,Zhou S,et al.Low complex user selection strategies for multi-user MIMO downlink scenario[C]∥Proceedings of the IEEE Wireless Communications and Networking Conference(WCNC),Hong Kong,2007:1532-1537.

引证文献2

吉林大学学报（工学版）
2011年 第2期

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