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Coalitional Games for Transmitter Cooperation in MIMO Multiple Access Channels

机译:MIMO多路访问信道中发射机合作的联合游戏

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Cooperation between nodes sharing a wireless channel is becoming increasingly necessary to achieve higher throughputs in a wireless network. The problem of determining the feasibility and stability of cooperation between rational nodes in a wireless network is of great importance in understanding cooperative behavior. This paper addresses the stability of the grand coalition of transmitters signaling over a multiple access channel using the framework of cooperative game theory. The external interference experienced by each TX is represented accurately by modeling the cooperation game between the TXs in partition form. Single user decoding and successive interference cancelling strategies are examined at the receiver. Transmitter cooperation is stable, if and only if the core of the game (the set of all divisions of grand coalition utility such that no coalition deviates) is nonempty. Determining the stability of cooperation is a co-NP-complete problem in general. For a single user decoding receiver, transmitter cooperation is shown to be stable at both high and low SNRs, while for an interference cancelling receiver with a fixed decoding order, cooperation is stable only at low SNRs and unstable at high SNR. When time sharing is allowed between decoding orders, it is shown using an approximate lower bound to the utility function that TX cooperation is also stable at high SNRs. Thus, this paper demonstrates that ideal zero cost TX cooperation over a MAC is stable and improves achievable rates for each individual user.
机译:为了在无线网络中实现更高的吞吐量,共享无线信道的节点之间的协作变得越来越必要。确定无线网络中有理节点之间的协作的可行性和稳定性的问题对于理解协作行为非常重要。本文利用合作博弈的理论框架,探讨了多接入信道上发射机信令联盟的稳定性。通过以分区形式对TX之间的合作博弈进行建模,可以准确地表示每个TX所经历的外部干扰。在接收机处检查单用户解码和连续干扰消除策略。当且仅当游戏的核心(大联盟效用的所有部门的集合,因此没有联盟偏离)的情况下,发射器合作才是稳定的。通常,确定合作的稳定性是一个共同完成NP的问题。对于单个用户解码接收器,发射机协作在高和低SNR均显示稳定,而对于具有固定解码顺序的干扰消除接收机,协作仅在低SNR稳定,而在高SNR不稳定。当在解码顺序之间允许时间共享时,使用效用函数的近似下限显示,TX合作在高SNR时也是稳定的。因此,本文证明了在MAC上理想的零成本TX合作是稳定的,并提高了每个用户的可实现速率。

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