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Research on Spectrum Resources Spatial Reuse Algorithm Based on Game Theory in Cognitive Radio

机译:基于博弈论的认知无线电频谱资源空间重用算法研究

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摘要

In cognitive radio system, spectrum reuse is one of the main methods to improve the utilization of spectrum resources. Nevertheless, it has been unable to further improve spectrum efficiency that the reuse is implemented exclusively from the dimension of frequency. Taking account of the problem of spectrum resource spatial reuse in addition to the reuse of frequency, and aiming at the problem of the network transmission power optimization based on spectrum resource spatial reuse method in cognitive network, this paper proposes a spectrum resource spatial reuse algorithm based on Game Theory. Game theory is used by the algorithm to establish a game model of spectrum resources spatial reuse. A price function based on the channel quality is introduced to ensure the fairness of cognitive user to allocate power in each channel. A successive over relaxation iteration algorithm is used to solve the Nash equilibrium. Simulation results confirm that the proposed algorithm not only has high reliable detection performance to reduce the total transmission power, but also can ensure the service quality of cognitive users.
机译:在认知无线电系统中,频谱复用是提高频谱资源利用率的主要方法之一。然而,仅从频率的角度实现重用一直无法进一步提高频谱效率。针对频谱资源空间复用问题,除了频率复用外,针对认知网络中基于频谱资源空间复用方法的网络传输功率优化问题,提出了一种基于频谱资源空间复用的算法。关于博弈论。该算法使用博弈论建立频谱资源空间复用的博弈模型。引入了基于渠道质量的价格函数,以确保认知用户公平分配每个渠道的权力。连续过度松弛迭代算法用于求解纳什均衡。仿真结果表明,该算法不仅具有较高的可靠检测性能,降低了总传输功率,而且可以保证认知用户的服务质量。

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