Energy Efficient D2D Mode Selection and Resource Allocation in Multiple Cellular Systems

Abstract

The mode selection and resource allocation are important issues in device-to-device (D2D) communication. There are very little research works considering the joint problem of base station selection and load balance of base station with mode selection and base station selection in multiple BSs cellular systems or heterogeneous cellular systems, which is a challenging issue. In this paper, the joint problem of D2D User Equipments (DUEs) mode selection, base station selection, channel allocation and power allocation is investigated. A mode selection, base station selection and resource allocation problem is formulated. The goal is to maximize the system energy efficiency. We consider the DUEs multiplex the cellular user uplink resource. Meanwhile, the total transmission power constraint of the DUEs, and the load balancing constraint of the BSs are considered. The formulated problem is NP problem, which is hard to solve. In order to solve the formulated problem effectively, a joint mode selection, base station selection and resource allocation algorithm based on particle swarm optimization (PSO) is proposed. Numerical results demonstrate that the proposed algorithm can effectively improve the system energy efficiency.