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Distributed Algorithms for Spectrum Access in Cognitive Radio Relay Networks

机译:认知无线电中继网络中频谱访问的分布式算法

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We develop distributed algorithms for efficient spectrum access strategies in cognitive radio relay networks. In our setup, primary users permit secondary users access to the resource (spectrum) as long as they consent to aiding the primary users as relays in addition to transmitting their own data. Given a pool of primary and secondary users, we desire to optimize overall network utility by determining the best configuration/pairing of secondary users with primary users. This optimization can be stated in a form similar to the maximum weighted matching problem. Given such formulation, we develop an algorithm based on affinity propagation technique that is completely distributed in its structure. We demonstrate the convergence of the developed algorithm and show that it performs close to the optimal centralized scheme.
机译:我们为认知无线电中继网络中的有效频谱访问策略开发了分布式算法。在我们的设置中,主要用户允许次要用户访问资源(频谱),只要他们同意除了传输自己的数据外还辅助主要用户作为中继。给定主要和次要用户的池,我们希望通过确定次要用户和主要用户的最佳配置/配对来优化整体网络实用程序。可以以类似于最大加权匹配问题的形式来说明此优化。给定这样的公式,我们开发了一种基于亲和力传播技术的算法,该算法完全分布在其结构中。我们证明了所开发算法的收敛性,并表明它的性能接近最优集中方案。

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