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A Class of Cross-Layer Optimization Algorithms for Performance and Complexity Trade-Offs in Wireless Networks
October 2009 (vol. 20 no. 10)
pp. 1393-1407
Xiaoying Zheng, University of Florida, Gainesville
Feng Chen, University of Florida, Gainesville
Ye Xia, University of Florida, Gainesville
Yuguang (Michael) Fang, University of Florida, Gainesville
In this paper, we solve the problem of a joint optimal design of congestion control and wireless MAC-layer scheduling using a column generation approach with imperfect scheduling. We point out that the general subgradient algorithm has difficulty in recovering the time-share variables and experiences slower convergence. We first propose a two-timescale algorithm that can recover the optimal time-share values. Most existing algorithms have a component, called global scheduling, which is usually NP-hard. We apply imperfect scheduling and prove that if the imperfect scheduling achieves an approximation ratio \rho, then our algorithm produces a suboptimum of the overall problem with the same approximation ratio. By combining the idea of column generation and the two-timescale algorithm, we derive a family of algorithms that allows us to reduce the number of times the global scheduling is needed.

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Index Terms:
Cross-layer design, optimization, column generation, MAC-layer scheduling, congestion control.
Citation:
Xiaoying Zheng, Feng Chen, Ye Xia, Yuguang (Michael) Fang, "A Class of Cross-Layer Optimization Algorithms for Performance and Complexity Trade-Offs in Wireless Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 10, pp. 1393-1407, Oct. 2009, doi:10.1109/TPDS.2008.245
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