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We introduce algorithms to optimize wireless networks in the presence of fading. Central to the problem considered is the need to learn the fading's probability distribution while determining optimal operating points. A stochastic subgradient descent algorithm in the dual domain is developed to accomplish this task. Even though the optimization problems considered are not convex, convergence of the...
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...
The popularity of wireless networks has soared in recent years. The wireless channel, along with its many benefits, poses a host of challenges for system designers, due to its time-varying and frequency selective behavior. Orthogonal frequency division multiplexing (OFDM) addresses some of these challenges at the physical layer. In this paper, we discuss various issues in a practical implementation...
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