Distributed Interference Alignment in Cognitive Radio Networks

Yi Xu, S. Mao
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引用次数: 6

Abstract

In this paper, we investigate the problem of incorporating two advanced physical layer technologies, i.e., multiple-input and multiple- output (MIMO) and distributed interference alignment, in cognitive radio (CR) networks. We present a cooperative spectrum leasing scheme for primary and secondary users to trade off between data transmission and revenue collection/payment. A Stackelberg game is formulated, where the primary user is the leader and the secondary users are followers. With backward induction, we derive the unique Stackelberg Equilibrium, where no player can gain by unilaterally changing strategy, as well as the optimal strategies. We find spectrum leasing is always beneficial to enhance 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 validate the efficacy of the proposed scheme.
认知无线电网络中的分布式干扰对齐
在本文中,我们研究了在认知无线电(CR)网络中结合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。我们提出了一种主要用户和次要用户的合作频谱租赁方案,以平衡数据传输和税收征收/支付之间的关系。这就形成了一个Stackelberg游戏,其中主要用户是领导者,次要用户是追随者。通过逆向归纳法,我们推导出了唯一的Stackelberg均衡,其中没有参与者可以通过单方面改变策略获得收益,以及最优策略。我们发现频谱租赁总是有利于提高主、次用户的效用。该方案优于文献中提出的无频谱租赁方案和合作方案,并取得了可观的收益,证明了频谱租赁和分布式干扰对齐的优势,验证了所提方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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