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多小区多用户无线网络下行链路协同波束成形设计 被引量:1

Coordinated beamforming design in downlink multi-cell multi-user wireless networks
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摘要 在频率复用的多小区多用户无线网络中,为了获得较好的和速率性能,研究了降低同频干扰的协同波束成形设计问题。博弈论分析结果表明,性能最优的协同波束成形矢量是自私和利他策略的线性组合。提出了一种最大化和速率的波束成形矢量迭代算法,给出了基于信道状态统计量的组合系数的估计方法。最后,仿真评估了波束成形算法的性能,表明了所提迭代算法的收敛性。 To obtain the good sum-rate performance in multi-cell multi-user wireless networks with frequency reuse, co- ordinated beamforming design problem of co-channel interference mitigation was studied. Theoretical analysis results with the game theory show that, the collaborative beamforming vector of the optimal performance is a linear combination of selfishness and altruism strategy. A beamforming vector iteration algorithm to maximize sum-rate was presented, and estimation method about composite coefficient based on the statistic of channel state information was proposed. Finally, the results of simulation assess the performance of the algorithm and show convergence of the proposed algorithm.
出处 《通信学报》 EI CSCD 北大核心 2012年第7期191-198,共8页 Journal on Communications
基金 江苏高校优势学科建设工程资助项目 江苏省基础研究计划(BK2011756) 江苏省高校自然科学研究基金资助项目(11KJB510018) 普通高校研究生科研创新计划(CX10B_187Z) 南京邮电大学校科研基金资助项目(NY210006)~~
关键词 波束成形 博弈论 均衡 beamforming game theory equilibrium
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参考文献11

  • 1RANDA Z, ZULEITA K M H, DAVID G. Distributed beamforing coordination in multicell MIMO channels[A]. IEEE 69th Conference on Vehicular Technology[C]. Barcelona, Spain, 2009.
  • 2HADISUSANTO Y, THIELE L, JUNGNICKEL V. Distributed base station cooperation via block-diagonalizaion and dual-decomposition[A]. IEEE GLOBECOM[C]. 2008.1-5.
  • 3KIM Y H, LEE J H, LEE C H, et al. Coordinated beamforming with limtited BS cooperation for multicell multiuser MIMO broadcast channel[A]. IEEE Vehicular Technology Conference[C]. 2009.1-5.
  • 4VENTURINO L, PRASAD N, WANG X D. Coordinated linear beamforming in downlink multi-cell wireless networks[J]. IEEE Trans on Wireless Communications, 2010, 9(4): 1451-1461.
  • 5LARSSON E G, JORSWIECK E A, LINDBLOM J, et al. Game theory and the flat-fading gaussian interference channel[J] .IEEE Signal Processing Magazine, 2009,26(5): 18-27.
  • 6JORSWIECK E A, LARSSON E G. The MISO interference channel from a game-theoretic perspective: a combination of selfishness and altruism achieves pare to optimality[A]. ICASSP 2008[C]. 2008. 5364-5367.
  • 7LARSSON E G JORSWIECK E A. The MISO interference channel: competion versus collaboration[A]. Forty-fifty Annual Allerton Conference[C]. Illinois, USA, 2007.26-28.
  • 8ANANDKUMAR A J G, LAMBOTHARAN S, CHAMBERS J. A game-theoretic approach to transmitter covariance matrix design for broadband MIMO gaussian interference channels[A]. IEEE/SP 15th Workshop on Statistical Signal Processing[C]. 2009. 301-304.
  • 9ZULEITA K M H, DAVID G. Balancing egoism and altruism on interference channel: the MIMO case[A]. ICC on Communication[C]. Cape Town ,South Africa, 2010. 23-27.
  • 10SADEK M, TARIGHAT A, SAYED A H. A leakage-based precoding scheme for downlink multi-user MIMO Channels[J]. IEEE Trans on Wireless Communication, 2007, 6(5): ! 711 - 1720.

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