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Stackelberg Game for Cognitive Radio Networks With MIMO and Distributed Interference Alignment

机译:具有MIMO和分布式干扰对准的认知无线电网络的Stackelberg游戏

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In this paper, we investigate the problem of spectrum leasing in cognitive radio (CR) networks, while incorporating two advanced physical-layer technologies, i.e., multiple-input multiple-output (MIMO) and distributed interference alignment. We present a cooperative spectrum leasing scheme for primary and secondary users to balance the tension between data transmission and revenue collection/payment. A Stackelberg game is formulated, where the primary user is the leader, and secondary users are followers. With backward induction, we derive the optimal strategies for primary and secondary users that can achieve the unique Stackelberg equilibrium, where no player can gain by a unilaterally changing strategy. We find that spectrum leasing is always beneficial to enhancing the utilities of primary and secondary users. The proposed scheme outperforms a no-spectrum-leasing scheme and a cooperative scheme presented in the literature with considerable gains, which demonstrate the benefits of spectrum leasing and distributed interference alignment and validates the efficacy of the proposed scheme.
机译:在本文中,我们研究了认知无线电(CR)网络中的频谱租赁问题,同时结合了两种先进的物理层技术,即多输入多输出(MIMO)和分布式干扰对准。我们为主要和次要用户提供了一种合作频谱租赁方案,以平衡数据传输与收入收集/支付之间的紧张关系。制定了Stackelberg游戏,其中主要用户为领导者,次要用户为关注者。通过向后归纳法,我们得出了可以实现独特的Stackelberg均衡的主要和次要用户的最佳策略,在该均衡条件下,任何玩家都无法通过单方面改变策略获得收益。我们发现频谱租用总是有益于增强主要和次要用户的效用。所提出的方案优于文献中提出的无频谱租赁方案和合作方案,并获得了可观的收益,这表明了频谱租赁和分布式干扰对准的好处,并验证了所提出方案的有效性。

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