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色噪声下MIMO信道估计优化及容量下限分析 被引量：2

Channel Estimation Optimization and Lower Bound of Capacity Analysis in MIMO System with Colored Noise
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摘要 针对色噪声背景下MIMO块平坦衰落信道进行了估计和优化,并以信道估计的优化结果为基础,分析了估计信道的互信息量下限和系统的容量下限,提出了利用注水算法来优化发射端天线阵列的功率分配,以提高系统容量下限。仿真结果表明利用信道估计的优化结果,同时通过发送功率优化分配,可使MIMO系统容量下限有明显提高。 The Multi-Input and Multi-Output （MIMO） block flat-fading channel is estimated and optimized with colored noise. The lower bounds of mutual information and system capactiy are analyzed based on the optimization result of estimated channel. The approach to improve the lower bound of system capacity by the optimized power allocation of transmit antennas array through waterpouring algorithm is presented. The simulation result shows that some capacity gain is obtained by transmitter power allocation according to the optimal result of estimated channel.
作者 景小荣 周正中 贺涛
机构地区 电子科技大学通信与信息工程学院 电子科技大学电子工程学院
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2007年第2期179-181,202,共4页 Journal of University of Electronic Science and Technology of China
关键词 容量下限 MIMO信道估计 功率分配 注水算法 lower bound of capacity multi-input and multi-output channel estimation power allocation waterpouring algorithm
分类号 TN911.5 [电子电信—通信与信息系统]
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参考文献7

  • 1FOSCHINI G J,GANS M J.On limits of wireless communications in a fading environment when using multiple anteunas[J].Wireless Personal Communication.1998,6(3):311-335.
  • 2TELATAR I E.Capacity of multi-antenna Gaussian channels[J].European Transaction on Telecommunication.1999,10(6):585-595.
  • 3HASSIBI B,HOCKWALD B M.How much Training is Needed in Multiple-Antenna Wireless Links?[J].IEEE Trans.Inform.Theory,2001,49(4):951-963.
  • 4WONG T F,PARK B.Training sequence optimization in MIMO systems with colored noise[J].IEEE Transaction on Communication,2004,52(11):1939-1947.
  • 5RICK S.BLUM.MIMO Capacity with Interference[J].IEEE Transaction on Selected Areas In Communication,2003,21(5):793-801.
  • 6TAESANG Y,GOLDSMITH A.Capacity of fading MIMO channels with channel estimation error[C]//2004 IEEE Internafional Conference on Communications,Paris,France:[出版者不祥],2004.
  • 7KAY S M.Fundamental of statistical signal processsing:estimation theory[M].Englewood Cliffs:Prentice-Hall,1993.

同被引文献16

  • 1杨鸿文,胡曼丽,郭文彬,杨大成.一种基于ACK反馈的多用户分组调度方法[J].北京邮电大学学报,2004,27(5):15-20. 被引量：5
  • 2Yoo T, Goldsmith A J. On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming[ J]. IEEE Journal on Selected Areas in Communications, 2006, 24(3) : 528-541.
  • 3Kyritsi P, Cox D C, Valenzuela R A. Channel and capacity estimation errors [ J].IEEE Communications Letters, 2002, 6(12) : 517-519.
  • 4Anton-Haro C, Svedman P, Bengtsson M, et al. Crosslayer scheduling for muhiuser MIMO systems [ J]. IEEE Communications Magazine, 2006, 44(9): 39-45.
  • 5Lau V K N , Jiang M L. Performance analysis of muhiuser J downlink space-time scheduling for TDD systems with imperfect CSIT[J]. IEEE Trans on Vehicular Technology, 2006, 55 ( 1 ) : 296-305.
  • 6Yoo T, Goldsmith A J. Capacity and power allocation for fading MIMO channels with channel estimations error [J]. IEEE Trans on Information Theory, 2006, 52(5) : 2203-2214.
  • 7Goldsmith A J, Chua S. Variable-rate variable-power MQAM for fading channels[J]. IEEE Trans on Communications, 1997, 45(10): 1218-1230.
  • 8LEE K, CHUN J. On the beamforming weight of the MIMO/SDMA system under channel uncertainty[C]//In 2004 IEEE 59th VTC 2004-Spring. Milan: IEEE Press, 2004: 775-778.
  • 9Yeh Ch, KWON D S. SDMA, multiuser diversity, and BF using array antenna in OFDMA system[C]//In 2007 IEEE 66th VTC-2007 Fall. Baltimore: IEEE Press, 2007: 671-675.
  • 10CHOI L U. Multi-user MISO and MIMO transmit signal processing for wireless communication[D]. Hongkong, China: Hong Kong University of Science & Technology, 2003.

引证文献2

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电子科技大学学报
2007年 第2期

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