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Cross‐Layer Resource Allocation in Multi‐interface Multi‐channel Wireless Multi‐hop Networks
Authors:Wei Feng  Suili Feng  Yongzhong Zhang  Xiaowei Xia
Affiliation:1. Wei Feng (corresponding author, 396843354@qq.com) is with the School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China.;2. Suili Feng (f.wei08@mail.scut.edu.cn) is with the School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China.;3. Yongzhong Zhang (zyzanis@vip.sina.com) is with the No.7 Research Institution, China Electronics Technology Group Corporation, Guangdong, China.;4. Xiaowei Xia (xiaxw@hxdi.com) is with the No.4 Research Institution, Huaxin Consulting Co. Ltd., Hangzhou, China.
Abstract:In this paper, an analytical framework is proposed for the optimization of network performance through joint congestion control, channel allocation, rate allocation, power control, scheduling, and routing with the consideration of fairness in multi‐channel wireless multi‐hop networks. More specifically, the framework models the network by a generalized network utility maximization (NUM) problem under an elastic link data rate and power constraints. Using the dual decomposition technique, the NUM problem is decomposed into four subproblems — flow control; next‐hop routing; rate allocation and scheduling; power control; and channel allocation — and finally solved by a low‐complexity distributed method. Simulation results show that the proposed distributed algorithm significantly improves the network throughput and energy efficiency compared with previous algorithms.
Keywords:Wireless multi‐hop networks  congestion control  channel allocation  power control  scheduling  routing
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