Abstract
Device-to-device (D2D) communication is proposed as a promising technique of future cellular networks which fulfills its potential in terms of high resource utilization. In this paper, in order to improve the achievable rate of D2D communication and the spectrum utilization, we consider the scenario that multiple D2D pairs can share uplink spectrum resources with multiple cellular users (CUs). We aim to maximize the overall system spectrum efficiency while satisfying the rate requirements of all CUs and guaranteeing that the system gain is positive. We formulate the joint optimization problem of subcarrier assignment and power allocation which falls naturally into a mixed integer non-linear programming form that is a difficult problem to solve. Hence, we propose a two-stage resource allocation scheme which comprises a subcarrier assignment by employing a heuristic greedy strategy, as well as a power allocation algorithm based on the Lagrangian dual method. Numerical results demonstrate the advantageous performance of our scheme in greatly increasing the system sum spectrum efficiency.
Highlights
A Resource Allocation Scheme for Multi-D2DYong Zhang 1 , Fangmin Li 1,2 , Mohammed Abdulaziz Aide Al-qaness 1 and Xidao Luan 2, *
Device-to-device (D2D) communication has been proposed as an underlay to cellular networks where user equipments (UEs) in proximity are able to communicate directly with one another with the support of evolved node B [1,2]
Our work makes the following contributions: (1) We investigate the optimal resource allocation for the case that one D2D pair could reuse more than one subcarrier while guaranteeing the minimum rate requirements of individual cellular users (CUs); (2) We introduce the system positive gain and the system negative gain which represent the benefit of reusing cellular resources and the penalty for interference exerted on CUs respectively
Summary
Yong Zhang 1 , Fangmin Li 1,2 , Mohammed Abdulaziz Aide Al-qaness 1 and Xidao Luan 2, *. Received: 12 December 2016; Accepted: 25 January 2017; Published: 7 February 2017
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