【摘 要】
：
Using relay in the wireless communication network is an efficient way to ensure the data transmission to the distant receiver.In this paper,a dynamic power control (DPC) approach is proposed for the amplify-and-forward (AF) relay-aided downlink transmissi
【机 构】
：
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876
论文部分内容阅读
Using relay in the wireless communication network is an efficient way to ensure the data transmission to the distant receiver.In this paper,a dynamic power control (DPC) approach is proposed for the amplify-and-forward (AF) relay-aided downlink transmission scenario based on deep reinforcement learning (DRL) to reduce the cochannel interference caused by spectrum sharing among different nodes.The relay works in a two-way half-duplex (HD) mode.Specifically,the power control of the relay is modeled as a Markov decision process (MDP) and the sum rate maximization of the network is formulated as a DRL problem.Simulation results indicate that the proposed method can significantly improve the system sum rate.
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