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In this paper we develop a discrete and distributed optimization framework that maximizes the overall spectral efficiency of heterogeneous networks while ensuring a minimum fairness among users. We split the problem into two subproblems: the first one is handled by the users and consists in a transmission by each user of a minimum rate requirement to the base stations and the second is the resource...
Algorithms for dynamic resource allocation in OFDM based wireless systems, known as Marge Adaptive optimization (MA), aim at reducing the total power consumption of the base station under individual minimum transmit rates for terminals. While it has been shown that using adaptive modulation increases the capacity of the wireless system, most MA algorithms may not be energy efficient when many mobile...
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