Distributed Spectrum and Power Allocation for D2D-U Networks

Abstract

In this paper, a distributed power and spectrum allocation scheme is proposed for Device-to-Device communication on unlicensed bands (D2D-U) enabled networks. To make full use of the spectrum resources on the unlicensed bands while guaranteeing the fairness among D2D-U links and the harmonious coexistence with WiFi networks, an online trained Neural network (NN) is first utilized on each D2D-U pair to determine the price to use the unlicensed channels according to the channel state and traffic loads. Then, a non-convex optimization problem can be formulated and solved on each D2D-U link to determine the optimal spectrum and power allocation scheme which can maximize the its transmission data rate. Numerical simulation results are demonstrated to verify the performance of the proposed method which enables each D2D-U link to maximize its own data-rate individually under the constraint of the fair coexistence with other D2D-U devices and WiFi networks.