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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks
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A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks

机译:无线网状网络中多跳组播的跨层优化框架

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摘要

The optimal and distributed provisioning of high throughput in mesh networks is known as a fundamental but hard problem. The situation is exacerbated in a wireless setting due to the interference among local wireless transmissions. In this paper, we propose a cross-layer optimization framework for throughput maximization in wireless mesh networks, in which the data routing problem and the wireless medium contention problem are jointly optimized for multihop multicast. We show that the throughput maximization problem can be decomposed into two subproblems: a data routing subproblem at the network layer, and a power control subproblem at the physical layer with a set of Lagrangian dual variables coordinating interlayer coupling. Various effective solutions are discussed for each subproblem. We emphasize the network coding technique for multicast routing and a game theoretic method for interference management, for which efficient and distributed solutions are derived and illustrated. Finally, we show that the proposed framework can be extended to take into account physical-layer wireless multicast in mesh networks
机译:网状网络中高吞吐量的最佳和分布式配置是一个基本但困难的问题。由于本地无线传输之间的干扰,这种情况在无线设置中更加严重。在本文中,我们提出了一种用于无线网状网络中吞吐量最大化的跨层优化框架,其中针对多跳组播共同优化了数据路由问题和无线媒体争用问题。我们表明,吞吐量最大化问题可以分解为两个子问题:网络层的数据路由子问题和物理层的功率控制子问题,该问题具有一组拉格朗日双变量协调层间耦合。针对每个子问题讨论了各种有效的解决方案。我们强调用于组播路由的网络编码技术和用于干扰管理的博弈论方法,针对这些问题推导并说明了有效的分布式解决方案。最后,我们证明了所提出的框架可以扩展为考虑网状网络中的物理层无线多播

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