A cross-layer optimization framework for multihop multicast in wireless mesh networks

被引:102
|
作者
Yuan, Jun [1 ]
Li, Zongpeng
Yu, Wei
Li, Baochun
机构
[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada
[2] Univ Calgary, Dept Comp Sci, Calgary, AB T2N 1N4, Canada
关键词
convex optimization; dual decomposition; game theory; mesh network; multicast routing; network coding; power allocation;
D O I
10.1109/JSAC.2006.881617
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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.
引用
收藏
页码:2092 / 2103
页数:12
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