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Leveraging Cooperative, Channel and Multiuser Diversities for Efficient Resource Allocation in Wireless Relay Networks

机译:利用合作,信道和多用户多样性在无线中继网络中进行有效的资源分配

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摘要

Relay stations can be deployed between mobile stations and base stations in a single-hop wireless network to extend its coverage and improve its capacity. In this paper, we exploit cooperative diversity, channel diversity and multiuser diversity gains in an OFDMA-based wireless relay network. We study a joint channel and relay assignment problem with the objective of maximizing a well-adopted utility function that can lead to a stable system. This problem turns out to be NP-hard. First, a mixed integer linear programming formulation is presented to provide optimal solutions. We then present three simple greedy algorithms to solve the problem in polynomial time, namely, Greedy-ChannelFirst, Greedy-RelayFirst and Greedy-Joint. We also perform a comprehensive theoretical analysis for the performance of the proposed algorithms. Our analytical results show the Greedy-ChannelFirst algorithm is a constant factor approximation algorithm which always provides a solution whose objective value is guaranteed to be no smaller than the optimal value multiplied by a constant less than 1; however, the other two algorithms do not provide a similar performance guarantee. Extensive simulation results have been presented to show that all three proposed algorithms perform very well on average cases.
机译:中继站可以在单跳无线网络中的移动站和基站之间部署,以扩展其覆盖范围并提高其容量。在本文中,我们在基于OFDMA的无线中继网络中利用协作分集,信道分集和多用户分集增益。我们研究联合通道和中继分配问题,目的是最大限度地提高可以导致稳定系统的广泛使用的效用函数。事实证明,这个问题很难解决。首先,提出了混合整数线性规划公式,以提供最佳解决方案。然后,我们提出了三种简单的贪心算法来解决多项式时间内的问题:贪婪通道优先,贪婪中继优先和贪婪联合。我们还对所提出算法的性能进行了全面的理论分析。我们的分析结果表明,Greedy-ChannelFirst算法是一种恒定因子近似算法,始终提供一种解决方案,该解决方案的目标值保证不小于最优值乘以小于1的常数。但是,其他两种算法不能提供类似的性能保证。大量的仿真结果表明,这三种算法在一般情况下均表现良好。

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