Performance of Resource Allocation for D2D Communications in Q-Learning Based Heterogeneous Networks

This paper investigates energy efficiency issues of device-to-device (D2D) communications in heterogeneous networks. To minimize the total transmit power, an approach based on Q-learning together with adaptive $varepsilon$ -greedy is proposed to optimize the connection of user equipment (UE) with base station (BS) or Access point (AP). ...More