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A major challenge in OFDMA cellular networks is to efficiently allocate scarce channel resources and optimize global system performance. Specifically, the allocation problem across cells/base-stations is known to incur extremely high computational/communication complexity. Recently, Gibbs sampling has been used to solve the downlink inter-cell allocation problem with distributed algorithms that incur...
This paper presents a non-convex optimization framework for the Network Utility Maximization problem in Wireless Networks, which incorporates the interference among links and introduces a power penalty term in the objective function to assure both convergence and energy efficiency of the method. Moreover, a distributed gradient based algorithm is proposed that converges to the optimal solution for...
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