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Throughput-efficient joint coalition formation and bandwidth allocation in cognitive radio networks

机译:吞吐量有效的联合联盟形成和带宽分配在认知无线电网络中

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In this paper we consider the problem of joint coalition formation and bandwidth allocation in cognitive radio networks. We assume that the secondary links will be partitioned into disjoint coalitions, by which the available spectrum will be reused. On the other hand, we assume that the members of each coalition will transmit over orthogonal sub-bands with the available spectrum being optimally allocated among them. We formulate the problem as a coordinated coalition formation game where the optimization is held at a secondary coordinator (SC) that has all the required channel information. Given these assumptions, we use a closed form expression of the optimal bandwidth allocation for any given network partition, and we propose an algorithm to reach a Nash-stable partition (coalition structure), with the objective of maximizing the network through-put. Performance analysis shows that the proposed coalition formation algorithm with optimal bandwidth allocation provides a substantial gain in the network throughput over existing coalition formation techniques as well as the simple cases of singleton and grand coalition.
机译:在本文中,我们考虑了认知无线电网络联合联盟形成和带宽分配问题。我们假设辅助链接将被划分为不相交的联盟,通过该联盟将重用可用频谱。另一方面,我们假设每个联盟的成员将在正交的子带中传输,其中可用的频谱在它们中最佳地分配。我们将问题作为协调联盟形成游戏,优化在具有所有所需频道信息的次要协调员(SC)中。鉴于这些假设,我们使用对任何给定的网络分区的最佳带宽分配的闭合表达式表达,并提出了一种算法来达到纳什稳定分区(联盟结构),其目的是通过放置网络最大化网络。性能分析表明,具有最佳带宽分配的建议联盟形成算法在现有联盟形成技术的网络吞吐量中提供了大量的收益,以及单例和大联盟的简单案例。

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