Abstract
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 ε -greedy is proposed to optimize the connection of user equipment (UE) with base station (BS) or Access point (AP). The proposed adaptive ε greedy can conduct the adequate exploration and exploitation operations for effective optimization. Simulation results indicate that in the single-cell scenario, the proposed adaptive ε-greedy can obtain performance close to the best solution.
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