2016/09/15 by Andrea Abrardo, Marco Moretti, Abrardo, Andrea +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1609.04535
openalex publication_date 2016/09/15 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
The implementation of device-to-device (D2D) underlaying or overlaying\npre-existing cellular networks has received much attention due to the potential\nof enhancing the total cell throughput, reducing power consumption and\nincreasing the instantaneous data rate. In this paper we propose a distributed\npower allocation scheme for D2D OFDMA communications and, in particular, we\nconsider the two operating modes amenable to a distributed implementation:\ndedicated and reuse modes. The proposed schemes address the problem of\nmaximizing the users' sum rate subject to power constraints, which is known to\nbe nonconvex and, as such, extremely difficult to be solved exactly. We propose\nhere a fresh approach to this well-known problem, capitalizing on the fact that\nthe power allocation problem can be modeled as a potential game. Exploiting the\npotential games property of converging under better response dynamics, we\npropose two fully distributed iterative algorithms, one for each operation mode\nconsidered, where each user updates sequentially and autonomously its power\nallocation. Numerical results, computed for several different user scenarios,\nshow that the proposed methods, which converge to one of the local maxima of\nthe objective function, exhibit performance close to the maximum achievable\noptimum and outperform other schemes presented in the literature.\n