认知无线网络中的联合频谱共享与公平路由

M. Ma, D. Tsang
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引用次数: 44

摘要

本文提出了一种跨层优化框架,用于联合设计认知无线网络中考虑干扰的频谱共享和流量路由。考虑不同源节点到目的节点的多个流量需求,我们以混合整数线性规划(MILP)的形式提出了一个优化问题,以提供一个公平的路由。与现有工作不同,我们考虑双向链路,因为我们认为在自组织网络中链路级确认是必须的。对于流量路由,我们允许每个流量需求的多路径。数值计算结果表明,该方法在二级用户间的频谱共享不受干扰,并保证了对不同业务需求的公平路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Spectrum Sharing and Fair Routing in Cognitive Radio Networks
In this paper, we propose a cross-layer optimization framework to jointly design the spectrum sharing and flow routing with the interference considerations in cognitive radio networks. Given multiple traffic demands from different source nodes to destination nodes, we formulate an optimization problem in the form of mixed integer linear programming (MILP) to provide a fair routing. Different from the existing work, we consider bi-directional links because we believe the link level acknowledgements in an ad-hoc network are a must. For traffic routing we allow multi-path for each traffic demand. Numerical results show that the spectrum sharing among the secondary users is interference-free and a fair routing is guaranteed for different traffic demands.
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