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无线传感器网络中基于有限反馈的协同MIMO策略

张余 李子 蔡跃明 陈贤明 徐友云

张余, 李子, 蔡跃明, 陈贤明, 徐友云. 无线传感器网络中基于有限反馈的协同MIMO策略[J]. 电子与信息学报, 2009, 31(1): 32-36. doi: 10.3724/SP.J.1146.2007.01903
引用本文: 张余, 李子, 蔡跃明, 陈贤明, 徐友云. 无线传感器网络中基于有限反馈的协同MIMO策略[J]. 电子与信息学报, 2009, 31(1): 32-36. doi: 10.3724/SP.J.1146.2007.01903
Zhang Yu, Li Zi, Cai Yue-ming, Chen Xian-ming, Xu You-yun. A Cooperative MIMO Scheme Based on Limited Feedback in WSNs[J]. Journal of Electronics & Information Technology, 2009, 31(1): 32-36. doi: 10.3724/SP.J.1146.2007.01903
Citation: Zhang Yu, Li Zi, Cai Yue-ming, Chen Xian-ming, Xu You-yun. A Cooperative MIMO Scheme Based on Limited Feedback in WSNs[J]. Journal of Electronics & Information Technology, 2009, 31(1): 32-36. doi: 10.3724/SP.J.1146.2007.01903

无线传感器网络中基于有限反馈的协同MIMO策略

doi: 10.3724/SP.J.1146.2007.01903
基金项目: 

国家自然科学基金(60672079)和江苏自然科学基金(BK2007002, BK2006701)资助课题

A Cooperative MIMO Scheme Based on Limited Feedback in WSNs

  • 摘要: 该文针对无线传感器网络中能量有限问题,提出了一种基于有限反馈的协同MIMO策略。该策略基于梯度算法,用1bit反馈来自动地调整簇头节点和协同簇头节点的发射功率。对无线传感器网络中基于有限反馈的Alamouti码的协同MISO系统的误码率进行了理论分析,推导了基于有限反馈Alamouti码的协同MISO策略能耗的契尔诺夫上限表达式。理论分析和仿真结果都表明,该文提出的协同MISO策略与基于标准Alamouti码的协同策略相比,无线传感器网络的总能耗更低,能效更高,且当簇头节点和协同簇头节点一直选择较好信道对应的节点来发送信息时,即最优策略,无线传感器网络的总能耗更低。
  • Yao Y W and Giannakis G B. Energy-efficient scheduling forwireless sensor networks [J]. IEEE Trans. on Wireless Comm.,2005, 53(8): 1333-1342.[2]Cui S, Goldsmith A J, and Bahai A. Energy-efficiency ofMIMO and cooperative MIMO techniques in sensor networks[J].IEEE Journal Selected Areas Comm.2004, 22(6):1089-1098[3]Jayaweera S K. Virtual MIMO-based cooperativecommunication for energy-constrained wireless sensornetworks [J].IEEE Trans. on Wireless Comm.2006, 5(5):984-989[4]Li X, Chen M, and Liu W. Application of STBC-encodedcooperative transmissions in wireless sensor networks [J].IEEE Signal Processing Letters.2005, 12(2):134-137[5]Jayaweera S K. An energy-efficient virtual MIMOcommunications architecture based on V-BAST processingfor distributed wireless sensor networks[C]. 2004 IEEESECON, California: IEEE press, 2004: 299-308.[6]Nguyen T D, Berder O, and Sentieys O. Cooperative MIMOschemes optimal selection for wireless sensor networks[C].VTC2007-Spring, Dublin: IEEE press, 2007: 85-89.Ahmed I, Mugen P, and Wang W. Uniform energyconsumption through adaptive rate communications incooperative MIMO based wireless sensor networks[C]. IEEEWiCom, Shanghai: IEEE press, 2007: 1-4.[7]Xue Y and Gershman A B. Alamouti-type wirelesscommunication systems with one-bit feedback [C]. IEEESensor Array and Multichannel Signal Processing Workshop,2004, 7: 143-147.[8]Alamouti S M. A simple transmit diversity techniques forwireless communications [J].IEEE Journal Selected AreasComm.1998, 16(8):1451-1458[9]Larsson E G, Ganesan G, and Stoica P, et al.. On theperformance of orthogonal space-time block coding withquantized feedback [J].IEEE Comm. Letters.2002, 6(11):487-489[10]盛骤, 谢世千, 潘承毅. 概率论与数理统计[M]. 浙江: 高等教育出版社, 第三版, 2001: 162-165.Sheng Zhou, Xie Shi-qian, and Pan Cheng-yi. Probability andStatistics [M]. Zhejiang, Higher Education Press, ThirdEdition, 2001: 162-165.[11]Cui S, Goldsmith A J, and Bahai A. Modulation optimizationunder energy constrains[C]. IEEE International Conf. onComm. Anchorage, AlasKa: IEEE press, 2003: 2805-2811.
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出版历程
  • 收稿日期:  2007-12-10
  • 修回日期:  2008-07-11
  • 刊出日期:  2009-01-19

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