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Coalition formation in MISO interference channels

机译:MISO干扰信道中的联盟形成

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We consider a multi-link multiple-input single-output interference channel. A link in this setting is noncooperative if its transmission does not take into account the interference it generates at other links. Noncooperative operation of the links is generally not efficient. To improve this situation, we study link cooperation via coalitional games. In coalitional games, a player has an incentive to cooperate with other players if this improves his payoff. We model the setting as a game in coalitional form without transferable utility. The players (links) in a coalition either perform zero forcing transmission or Wiener filter precoding to each other. Necessary and sufficient conditions, in terms of a lower signal-to-noise ratio (SNR) threshold, are provided under which all players have the incentive to cooperate and form a grand coalition. In addition, we provide sufficient conditions under which all players have no incentive to cooperate. In this case, the SNR has to be below a specified SNR threshold. Hence, there exists an SNR range in which the links would profit in forming subcoalitions. Therefore, we turn our attention to coalition formation games between the links. We utilize a coalition formation algorithm, called merge-and-split, to determine stable user grouping. Numerical results show that while in the low SNR regime noncooperation is efficient with single-player coalitions, in the high SNR regime all users benefit in forming a grand coalition. Coalition formation shows its significance in the mid SNR regime where subset user cooperation provides joint performance gains.
机译:我们考虑一个多链路多输入单输出干扰信道。如果此设置中的链接的传输未考虑其在其他链接上产生的干扰,则该链接是不合作的。链接的非合作操作通常效率不高。为了改善这种情况,我们通过联盟博弈研究链接合作。在联盟游戏中,如果玩家提高了回报,就会有与其他玩家合作的动机。我们以联盟形式将环境建模为游戏,而没有可转让的效用。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。根据较低的信噪比(SNR)阈值,提供了必要和充分的条件,在这些条件下,所有参与者都可以激励合作并组成一个庞大的联盟。此外,我们提供了充分的条件,在这种条件下,所有参与者都没有动力进行合作。在这种情况下,SNR必须低于指定的SNR阈值。因此,存在一个SNR范围,在该范围内,链路将在形成子联盟时受益。因此,我们将注意力转向链接之间的联盟形成游戏。我们利用称为合并和分割的联盟形成算法来确定稳定的用户分组。数值结果表明,虽然在低SNR体制下单人联盟的不合作是有效的,但在高SNR体制下,所有用户都可以从一个大型联盟中受益。联盟形成在中间SNR体制中显示了其重要性,在该体制中,子集用户合作提供了共同的性能提升。

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