期刊文献+

基于信道特征模式的多用户传输方法

Multiuser transmission method using channel eigenmode
原文传递
导出
摘要 分析了多用户特征模式传输(MET)的结构并研究了一种低复杂度的调度算法,同时研究了一种自适应比例公平调度算法.在基站端采用多用户特征模式传输来消除用户间干扰,增加系统吞吐量,同时在保证用户传输速率的情况下使用比例公平调度和自适应比例公平调度算法提高系统的公平性,在同一时刻选择最优用户集进行传输.仿真与分析表明:多用户信道特征模式传输与自适应比例公平算法相结合不仅保证了系统速率,还提高了系统的公平性. The structure of multiuser eigenmode transmission(MET) was studied by low-complexity implementation,and a adaptive scheduling scheme was proposed.The base station used MET to eliminate the users′ interference and increases the system capacity.The adaptive proportional fair scheduling algorithm was used to ensure the system′s fairness.The best user for transmission was closed at the same time.The simulation results show that the combination of MET and the proportional fair scheduling scheme not only ensure the system's rate,but also improve the system′s fairness.
作者 徐晶华 周铭
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第12期94-97,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家科技重大专项资助项目(2010ZX03005-001 2010ZX03005-003)
关键词 广播信道 多用户特征模式传输 自适应比例公平调度 公平性 传输速率 broadcast channel multiuser eigenmode transmission(MET) adaptive proportional fair scheduling fairness transmission rate
  • 相关文献

参考文献10

  • 1傅华,姚天任,江小平,陈少平.有限反馈的联合波束成形和调度方案[J].华中科技大学学报(自然科学版),2008,36(4):29-32. 被引量:3
  • 2Jindal N, Vishwanath S, Jafar S, et al. Duality dirty paper coding and capacity for multiuser wireless chan- nels[C]//Multiantenna Channels Capacity, Coding and Signal Processing. Rhode Island: DIMACS Workshop, 2002: 71-86.
  • 3李汀,杨绿溪.多用户MIMO系统的有限反馈预编码[J].华中科技大学学报(自然科学版),2009,37(3):36-38. 被引量:3
  • 4Oh-Soon S, Kwang B. Antenna-assisted round robin scheduling for MIMO cellular systems [J]. IEEE Communication Letters, 2003, 7(3) : 109-111.
  • 5Boal A, Soares A, Silva J C, et al. Distributed anten- na cellular system for transmission of broadcast/mul- ticast services[C]//Vehicular Technology Confer- ence. Dublin IEEE, 2007.. 1307-1311.
  • 6韩锋,刘应状,朱光喜,卢小峰.基于MIMO信道误差模型的保障QoS的自适应调制[J].华中科技大学学报(自然科学版),2008,36(1):1-4. 被引量:1
  • 7Shen Z, Chen R, Andrews J G, et al. Low complexi- ty user selection algorithms for multiuse MIMO sys- tems with block diagonalization[J]. IEEE Transae-tions on Signal Processing, 2006, 54(9).. 3658-3663.
  • 8Boccardi F, Huang H. A near-optimum technique using linear precoding for the MIMO broadcast chan- nel[C]//IEEE International Conference on Acoustics Speech and Signal Processing. Honolulu: IEEE, 2007, 3: 17-20.
  • 9Shi Zhihua, Zhao Chunming, Ding Zhi. Low com- plexity eigenmode selection for MIMO broadcast sys- tems with block diagonalization[C]//IEEE Interna- tional Conference on Communications. Beijing; IEEE, 2008: 3976-3981.
  • 10Chen R, Shen Zukang, Andrews J, et al. Multimo- de transmission for multiuser MIMO systems with block Diagonalization [J]. IEEE Transactions on Signal Processing, 2008, (56) 7 : 3294-3302.

二级参考文献25

  • 1Bourdoux A, Khaled A. Joint TX-RX optimisation for MIMO - SDMA based on a null - space constraint [C]//IEEE 56th Vehicular Technology Conference. Vancouver: IEEE Communications Society Press, 2002: 171-174.
  • 2Wang Cheng, Murch R D. Investigation into MUMISO transmission with limited feedback[C]//IEEE Wireless Communications and Networking Conference. Las Vegas: IEEE Communications Society Press, 2006: 3-6.
  • 3Tarighat A, Sadek M, Sayed A H. A multi user beamforming scheme for downlink MIMO channels based on maximizing signal-to-leakage ratios[C]// IEEE International Conference on Acoustics, Speech, and Signal Processing. Philadelphia: IEEE Communications Society Press, 2005:1 129-1 132.
  • 4Sadek M, Tarighat A, Sayed A H. A leakage-based precoding scheme for downlink multi-user MIMO channels[J]. IEEE Trans Wireless Commun, 2007, 6(5):1 111-1 721.
  • 5Sharma V, Lambotharan S. Multiuser downlink mimo beamforming using an iterative optimization approach [ C ] // Vehicular Technology Conference. Montreal: IEEE Communications Society Press, 2006 : 1-5.
  • 6Sloane B J A. Packings in Grassmannian spaces[EB/ OL]. [2008-05-30]. http: // www. research. att. com/-njas/grass/ind-ex. html.
  • 7I.ove D J, Heath R W, Strohmer T. Grassmannian beamforming for multiple-input multiple output wireless systems[J]. IEEE Transactions on Information Theory, 2003, 49(10): 2 735-2 747.
  • 8Wang Cheng, Murch R D. MU-MIMO decomposition transmission with limited feedback[C]//IEEE Wireless Communications and Networking Conference. Hong Kong: IEEE Communications Society Press, 2007: 1 108-1 113.
  • 9Wennstrom. On MIMO systems and adaptive arrays for wireless communications analysis and practical issues[D]. Sweden: Department of Engineering Sciences, Uppsala University, 2002.
  • 10James A T. Distribution of matrix variates and latent roots derived from normal samples[J]. Ann Math Statist, 1964, 35(2): 475-501.

共引文献4

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