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The implementation of device-to-device (D2D) underlaying or overlayingpre-existing cellular networks has received much attention due to the potentialof enhancing the total cell throughput, reducing power consumption andincreasing the instantaneous data rate. In this paper we propose a distributedpower allocation scheme for D2D OFDMA communications and, in particular, weconsider the two operating modes amenable to a distributed implementation:dedicated and reuse modes. The proposed schemes address the problem ofmaximizing the users' sum rate subject to power constraints, which is known tobe nonconvex and, as such, extremely difficult to be solved exactly. We proposehere a fresh approach to this well-known problem, capitalizing on the fact thatthe power allocation problem can be modeled as a potential game. Exploiting thepotential games property of converging under better response dynamics, wepropose two fully distributed iterative algorithms, one for each operation modeconsidered, where each user updates sequentially and autonomously its powerallocation. Numerical results, computed for several different user scenarios,show that the proposed methods, which converge to one of the local maxima ofthe objective function, exhibit performance close to the maximum achievableoptimum and outperform other schemes presented in the literature.

Distributed power allocation for D2D communications underlaying/overlaying OFDMA cellular networks