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MIMO-CDMA系统中一种基于博弈方式的分布式功率控制

钟卫 徐友云 蔡跃明

钟卫, 徐友云, 蔡跃明. MIMO-CDMA系统中一种基于博弈方式的分布式功率控制[J]. 电子与信息学报, 2007, 29(8): 1929-1933. doi: 10.3724/SP.J.1146.2006.00237
引用本文: 钟卫, 徐友云, 蔡跃明. MIMO-CDMA系统中一种基于博弈方式的分布式功率控制[J]. 电子与信息学报, 2007, 29(8): 1929-1933. doi: 10.3724/SP.J.1146.2006.00237
Zhong Wei, Xu You-yun, Cai Yue-ming. Distributed Game-Theoretic Power Control for Wireless Data over MIMO-CDMA System[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1929-1933. doi: 10.3724/SP.J.1146.2006.00237
Citation: Zhong Wei, Xu You-yun, Cai Yue-ming. Distributed Game-Theoretic Power Control for Wireless Data over MIMO-CDMA System[J]. Journal of Electronics & Information Technology, 2007, 29(8): 1929-1933. doi: 10.3724/SP.J.1146.2006.00237

MIMO-CDMA系统中一种基于博弈方式的分布式功率控制

doi: 10.3724/SP.J.1146.2006.00237
基金项目: 

国家自然科学基金 (60372080)和江苏省自然科学基金 (BK2004014)资助课题

Distributed Game-Theoretic Power Control for Wireless Data over MIMO-CDMA System

  • 摘要: 针对MIMO-CDMA系统中的无线数据业务,本文研究了分布式非合作功率控制博弈。对MIMO-CDMA系统中的无线数据业务建立了收益函数,该收益函数对功率效率和频谱效率都进行了考虑,并能够反映系统中无线数据用户对服务质量(QoS)的满意程度。以收益函数为基础,建立了两种非合作功率控制博弈模型,并对模型纳什均衡的存在性和唯一性进行了推导。另外,还研究了两种代价函数机制。最后,给出了一种获得纳什均衡的算法,数值仿真结果表明该算法具有良好的性能,有效地控制了各用户的发射功率。
  • Liu C H. Low-complexity Performance Optimization for MIMO CDMA Systems. IEEE WNCN, New Orleans, LA USA, Mar. 2005, 1: 280-285.[2]Mackenzie A B and Wicker S B. Game theory in communications: motivation, explanation, and application to power pontrol. IEEE GLOBECOM, San Antonio, Texas, Nov. 2001: 25-29.[3]Saraydar C, Mandayam N B, and Goodman D J. Efficient power control via pricing in wireless data networks[J].IEEE Trans. on Commun.2002, 50(2):291-303[4]Goodman D and Mandayam N. Power control for wireless data[J].IEEE Personal Commun Mag.2000, 7(4):48-54[5]Sumg C and Wong W. A Noncooperative power control game for multirate CDMA data networks[J].IEEE Trans. on Commun.2003, 2(1):186-199[6]Xiao M, Shroff N B, and Chong E K P. A utility-based power-control scheme in wireless cellular systems[J].IEEE/ ACM Trans.on Networking.2003, 11(2):210-221[7]Alpcan T, Basar T, and Srikant R. CDMA uplink power control as a Noncooperative game. Wireless Networks, 8(4): 659-670.[8]Ji H and Huang C Y. Non-cooperative uplink power control in cellular radio systems. Wireless Networks, 1998, 7(12): 861-874.[9]Yu W, Rhee W, Boyd S, and Cioffi J M. Iterative water-filling for gaussian vector multiple access channels[J].IEEE Trans. on Inform. Theory.2004, 50(1):145-152[10]Palomar D P, Cioffi J M, and Lagunas M A. Uniform power allocation in MIMO channels: A game-theoretic approach[J].IEEE Trans. on Inform. Theory.2003, 49(7):1707-1727[11]Ye S and Blum R S. Optimized signaling for MIMO interference systems with feedback[J].IEEE Transactions on Signal Processing.2003, 51(11):2839-2848[12]Agustin A, Munoz O, and Vidal J. A game theoretic approach for cooperative MIMO schemes with cellular reuse of the relay slot. IEEE ICASSP, Montreal, Quebec, Canada, May 2004, 4: 581-584.[13]Catreux S, Driessen P F, and Greenstein L J. Data throughputs using multiple-input multiple-output (MIMO) techniques in a noise-limited environment[J].IEEE Trans. on Wireless Commun.2002, 1(4):226-234[14]Altman E and Altman Z. S-Modular games and power control in wireless networks[J].IEEE Trans. on Automat. Contr.2003, 48(5):839-842
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出版历程
  • 收稿日期:  2006-03-06
  • 修回日期:  2006-10-08
  • 刊出日期:  2007-08-19

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