期刊文献+

基于正交空分复用的多用户调度策略

Multiuser Scheduling with Orthogonal Space-Division Multiplexing
下载PDF
导出
摘要 为了消除多用户MIMO下行系统的多用户间干扰以及改进系统的误码率性能,研究了块对角化预编码与几何均值分解的联合方案(BD-GMD).针对BD-GMD系统的资源分配和用户调度,对比了等功率分配和注水算法对系统的影响,并基于系统容量最大化,提出了一种根据用户信道的子空间特性的低复杂度的用户调度算法.此外,对比分析了穷举搜索算法和传统的贪婪算法.数值仿真结果表明,文中所提出的基于正交投影的多用户调度算法充在保证系统容量的同时降低了算法复杂度. The combined Block Digonalization precoding and Geometric Mean Decomposition(BD-GMD)scheme is developed to eliminate the multi-user interference and improve the system performance of bit error rate(BER)in a multiuser multiple input multiple output(MU-MIMO).For the resource allocation and scheduling of BD-GMD system,the equal power allocation and water-filling algorithm for the impact of the system is compared.According to the subspace characteristics,a multi-user scheduling scheme based on maximizing the system throughput with low computational complexity is proposed.At the meantime,the brute-force search algorithm and conventional greedy algorithm is analyzed and compared with the proposed algorithm.Simulation results show that the proposed algorithm based on the orthogonal projection can reduce the computational complexity while maintaining the system throughput.
出处 《微电子学与计算机》 CSCD 北大核心 2010年第10期18-22,共5页 Microelectronics & Computer
基金 国际科技合作计划(2008DFA11630) 国家自然科学基金项目(60496315 60802009) 国家"八六三"重点基金项目(2008AA01Z204 2009AA01Z205) 湖北省自然科学基金(2007ABA008) 博士后基金一等资助(20070410279)
关键词 MIMO 预编码 多用户调度 几何均值分解 正交空分复用 MIMO precoding multiuser scheduling geometric mean decomposition orthogonal space-division multiplexing
  • 相关文献

参考文献10

  • 1彭端,彭珞丽,尹长川,乐光新.MIMO-OFDM系统定时同步算法[J].微电子学与计算机,2007,24(3):1-4. 被引量:9
  • 2郭磊,朱光喜,梁学俊.一种多用户天线组选择辅助的MIMO-OFDM新型子载波分配算法[J].微电子学与计算机,2008,25(2):168-171. 被引量:5
  • 3Weingarten H, Steinberg Y, Shamai S. The capacity region of the gaussian multiple- input multiple - output broadcast channel [ J ]. IEEE Transctions on Information Theory, 2006, 52(9) :3936 - 3964.
  • 4Zamir R, Shamai S, Erez U. Nested linear/lattice codes for structured multiterminal binning [ J ]. IEEE Transactions on Information Theory, 2002,48(6) :1250- 1276.
  • 5Peel C B, Hochwald B M, Swindlehurst A L. A vectorperturbation technique for near- capacity multiantenna multiuser communication - part Ⅰ: channel inversion and regularization[J]. IEEE Transactions on Communications, 2005, 53(1) : 195 - 202.
  • 6Yoo T, Goldsmith A. On the optimality of multiantenna broadcast scheduling using zero- forcing beamforming[J ]. IEEE Journal on Selected Areas in Communications, 2006, 24(3): 528-541.
  • 7Spencer Q H, Swindlehurst A L, Haardt M. Zero- forcing methods for downlink spatial multiplexing in multiuser MIMO channds[J]. IEEE Transactions on Signal Processing, 2004, 52(2):461-471.
  • 8Shen Z K, Chen R H, Andrews J G, et al. Sum capacity of multiuser MIMO broadcast channels with block diagonalization[J]. IEEE International Symposium on Information Theory, 2006,6 (6) : 886 - 890.
  • 9Jiang Y, Hager W, Li J. The geometric mean decomposition[Jl. Linear Algebra and Its Applications, 2005(396): 373 - 384.
  • 10Zhang Xianda. Matrix analysis and applications [ M]. Beijing: Tsinghua Univ Press, 2004.

二级参考文献12

  • 1王鲜芳,杜志勇.最大似然时偏估计算法对OFDM系统同步性能的改善[J].微电子学与计算机,2005,22(9):57-60. 被引量:6
  • 2Agrawal D,Tarokh V,Naguib A,Seshadri N.Space-time coded OFDM for high data-rate wireless communication over wideband channels[C].Proc.IEEE VTC.,Ottawa,Canada,1998,2232~2236
  • 3Stamoulis A,Diggavi S N,Al-Dhahir N.Intercarrier interference in MIM OFDM[J].IEEE Trans.on Signal processing,2002,50(10),2451~2464
  • 4Speth M,Meyr H.Synchronization requirements for COFDM systems with transmit diversity[C].Proc.IEEE GLOBECOM.San Francisco,USA,2003,1252~ 1256
  • 5John Terry,Juha Heiskala.OFDM wireless LANs:a theoretical and practical guide[M].Indianapolis,Ind.:Sams Publishing,2002,49~77
  • 6Jan Jaap van de Beek,et aI.ML Estimation of time and frequency offset in OFDM systems[J].IEEE Trans on Signal processing,1997,45(7),1800~1805
  • 7Jon W Mark,Weihua Zhang.无线通信与网络[M],李锵译.北京:电子工业出版社,2004,98~104
  • 8Foschini G J Jr, Gans M J. On limits of wireless communication in a fading environment when using multiple antennas[ J ]. Wireless Personal Commun, 1998 (6) : 311 - 335.
  • 9Telatar I E. Capacity of multi-antenna gaussian channels [M]. AT&T Bell Labs, Internal Tech. Memo, 1995.
  • 10Yang Hongwei. A road to future broadband wireless access : MIMO-OFDM-based air interface [ J ]. IEEE commun. Magazine, 2005(43) : 53 - 60.

共引文献12

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