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基于凸优化理论的多用户MIMOSDMA系统 被引量：1

Multiuser MIMO SDMA System Based on Convex Optimization
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摘要 提出了一种基于凸优化理论的多用户MIMOSDMA联合发送—接收优化系统.在此系统中,将各用户的比特误码率作为目标函数通过凸优化理论来得到发送权矩阵和接收权矩阵,使系统在各用户同时达到最优的接收性能.模拟结果表明,这样得出的MIMOSDMA系统性能比传统的以最小均方误差为标准的系统性能有明显的改善. A multiuser MIMO SDMA joint Tx-Rx optimization system is proposed based on the convex optimization theory, and each user's BER is taken as the objective function. With the proposed algorithm, transmit and receive matrices are obtained to achieve the least BER. Simulation shows that performance of the designed SDMA system is obviously better than the conventional system which uses mean square error as its cost function.
作者 沈薇薇 方朝曦 王宗欣
机构地区 复旦大学通信科学与工程系
出处 《复旦学报（自然科学版）》 CAS CSCD 北大核心 2005年第1期183-187,共5页 Journal of Fudan University：Natural Science
基金 国家自然科学基金资助项目(60272033)
关键词 通信技术 空分多址 多输入多输出 凸优化 最小均方误差 比特误码率 communication technology SDMA MIMO convex optimization MMSE BER
分类号 TN911.23 [电子电信—通信与信息系统]
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参考文献6

  • 1Palomar D P, Cioffi J M, Lagunas M A. Joint Tx-Rx beamforming design for multicarrier MIMO channels: A unified framework for convex optimization [J]. IEEE Transactions on Signal Processing, 2003, 51(9): 2381-2401.
  • 2Boyd S, Vandenberghe L. Introduction to convex optimization with engineering applications [EB/OL]. http:∥www.stanford.edu/class/ee364. 2002-03-01/2004-09-21.
  • 3Luenberger D G. Optimization by Vector Space Methods, New Edition [M]. New York: Wiley, 1997.
  • 4Bourdoux A, Khaled N. Joint Tx-Rx optimisation for MIMO-SDMA based on a null-space constraint [EB/OL]. http:∥www.imec.be/wireless/mimo/publications/joint 2002 IEEE.pdf.2002-10-10/2004-09-21.
  • 5Viswanath P, Anantharam V. Optimal sequences and sum capacity of synchronous CDMA systems [J]. IEEE Transactions on Information Theory, 1999, 45(6):1984-1991.
  • 6Proakis J G. Digital Communications, 3rd Edition [M]. New York: McGraw-Hill, 1995.

同被引文献5

  • 1Qin X, Berry R. Exploiting multiuser diversity for medium access control in wireless networks [-EB/OL]. (2004-01-01)[-2007-04-10]. http://www, ieee-infocom.org/2003/papers/27_01. pdf.
  • 2Bourdoux A,Khaled N. Joint Tx-Rx optimisation for MIMO-SDMA based on a null-space constraint [EB/OL]. (2002-10-10)[2004-09-21]. http://www, imec~ be/wireless/mirno/publications/joint__2002 IEEE. pdf.
  • 3Telatar I K Capacity of multi-antenna Gaussian channels [J]. European Transactions on Telecommunications, 1999,10(6) : 585-595.
  • 4Khalighi M A, Brossier J, Jourdain G, et al. Water filling capacity of rayleigh MIMO ehannels[C]// IEEE International Symposium on Personal Indoor and Mobile Radio Communications. New York: IEEE, 2001.
  • 5Palomar D P, Cioffi J M, Lagunas M A. Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization[J]. IEEE Transactions On Signal Processing, 2003,51(9) : 2381-2401.

引证文献1

复旦学报（自然科学版）
2005年 第1期

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