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Coalitional Games in MISO Interference Channels: Epsilon-Core and Coalition Structure Stable Set

机译:MISO干扰通道中的联盟游戏:Epsilon-Core和联盟结构稳定集

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The multiple-input single-output interference channel is considered. Each transmitter is assumed to know the channels between itself and all receivers perfectly and the receivers are assumed to treat interference as additive noise. In this setting, noncooperative transmission does not take into account the interference generated at other receivers which generally leads to inefficient performance of the links. To improve this situation, we study cooperation between the links using coalitional games. The players (links) in a coalition either perform zero forcing transmission or Wiener filter precoding to each other. The -core is a solution concept for coalitional games that takes into account the overhead required in coalition deviation. We provide necessary and sufficient conditions for the strong and weak -core of our coalitional game not to be empty with zero forcing transmission. Since, the -core only considers the possibility of joint cooperation of all links, we study coalitional games in partition form in which several distinct coalitions can form. We propose a polynomial-time distributed coalition formation algorithm based on coalition merging and prove that its solution lies in the coalition structure stable set of our coalition formation game. Simulation results reveal the cooperation gains for different coalition formation complexities and deviation overhead models.
机译:考虑多输入单输出干扰信道。假定每个发射器都完全了解其自身与所有接收器之间的信道,并且假定接收器将干扰视为附加噪声。在这种情况下,非合作传输不会考虑在其他接收器处产生的干扰,这通常会导致链路的效率低下。为了改善这种情况,我们使用联盟游戏研究链接之间的合作。联盟中的播放器(链接)或者执行零强制传输,或者彼此进行维纳滤波器预编码。 -core是用于联盟游戏的解决方案概念,它考虑了联盟偏差所需的开销。我们提供了必要和充分的条件,以使我们的联盟博弈的强项和弱项不会因零强制传输而变得空洞。由于-core仅考虑了所有链接进行联合合作的可能性,因此我们以分区形式研究联盟博弈,在该博弈中可以形成几个不同的联盟。我们提出了一种基于联盟合并的多项式时间分布式联盟形成算法,并证明了其解决方案在于我们联盟形成博弈的联盟结构稳定集。仿真结果揭示了不同联盟形成复杂度和偏差开销模型的协作收益。

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