Matching Theory for Resource Allocation in Energy Harvesting Aided D2D Communication

Abstract

Energy harvesting (EH) aided device-to-device (D2D) communication brings some new challenges in resource allocation in view of the constraint of available energy and the interference caused by cellular users. In this paper, we focus on improving the spectral efficiency (SE) of D2D communication underlying a novel cellular network, where multiple EH aided D2D links are allowed to reuse the same spectrum. A joint spectrum matching, transmission time duration and power allocation problem is formulated, which mixed binary and continuous optimization variables. Concerning the computationally hard nature of the optimization problem, we propose a match-based resource allocation algorithm included two key sub-methods that have a progressive relationship. Firstly, to obtain spectrum reusing during each iteration, a many-to-one matching algorithm based on the preference of each users is developed. Secondly, on the basis of the matching results above, a resource allocation algorithm to optimize the SE of D2D communication is presented. Simulation results indicate that the algorithm has more superior performance compared to other matching strategy in aspects of SE improvement.