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基于联盟构造博弈的认知无线电网络分布式多目标协作感知算法
  • 摘要

    协作感知技术可提高认知无线电网络中的频谱资源利用率,但网络节点在形成协作感知联盟的同时也不可避免地引入了额外开销,联盟内节点总希望用较少的额外能量开销达到较大的吞吐量期望.为此,文中提出了协作感知系统的多目标非线性优化问题,然后基于联盟博弈理论为该问题构建了一个不可转移支付的联盟构造博弈模型,在其核心的支付函数的设计中,采用线性加权和的方法同时考虑了节点吞吐最期望和能量消耗两个优化目标.基于该函数,提出了一种分布式多目标联盟构造算法DMCF,其核心是根据优超算子所定义的联盟的帕累托顺序,循环地对联盟进行合并和分裂操作.此外,还证明了DMCF的收敛性和最终联盟划分的稳定性.仿真实验的结果表明,DMCF可有效解决提出的多目标优化问题,与一种分布式随机联盟构造算法DRCF相比,DMCF总能使节点消耗较少能量却达到相对较大的吞吐量期望.在不同网络规模下,DMCF可获得的节点平均吞吐量期望可提升约7.5%,而节点平均能量消耗却可降低约70%.

  • 作者

    杨威  班冬松  管东林  叶锡庆  窦文华  YANG Wei  BAN Dong-Song  GUAN Dong-Lin  YE Xi-Qing  DOU Wen-Hua 

  • 作者单位

    海军装备研究院 北京 100036/国家高性能集成电路(上海)设计中心 上海201204/国防科学技术大学计算机学院 长沙410073

  • 刊期

    2012年4期 ISTIC EI PKU

  • 关键词

    认知无线电网络  协作感知  多目标优化  联盟构造博弈  分布式算法 

参考文献
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