PROJECT TITLE :

Distributed Energy Efficient Channel Allocation in Underlay Multicast D2D Communications

ABSTRACT:

In this paper, we address the issue of optimizing the energy efficiency of underlay multicast device-to-device (D2MD) communications on cellular networks in order to achieve the best possible performance. In particular, we aim to maximize the energy efficiency of both the global network as a whole as well as the individual users within it, taking into account a variety of fairness factors including constraints on maximum power and minimum rate. In order to accomplish this, we make use of a canonical mixed-integer non-linear formulation of the joint problem of power control and resource allocation. We suggest a two-stage semi-distributed solution as a way to deal with the fact that it is an NP-hard problem. In the first stage, we find a stable, but sub-optimal, channel allocation for D2MD groups by utilizing a cooperative coalitional game framework. This framework enables co-channel transmission over a set of shared resource blocks and/or transmission over several different channels for each D2MD group. During the second stage of the process, a centralized entity uses fractional programming to determine the optimal amount of transmission power for each user in the system. We ran a number of simulations to determine the energy efficiency of the final product as well as the maximum transmission rates that were possible. The findings indicate that the performance of our semi-distributed approach is extremely close to that which is obtained using a pure optimal centralized approach.