Performance of Q-learning based resource allocation for D2D communications in heterogeneous networks

• 出版年: ICT Express
• 主要な著者: Shu-Hung Lee, Xiao-Pei Shi, Tan-Hsu Tan, Yu-Lin Lee, Yung-Fa Huang
• フォーマット: 論文
• 言語: 英語
• 出版事項: Elsevier 2023-12-01
• 主題: Device-to-device (D2D) communications; Heterogeneous networks; Q-learning; Exploration and exploitation; Adaptive ɛ-greedy
• オンライン･アクセス: http://www.sciencedirect.com/science/article/pii/S2405959523000127
• ISSN: 2405-9595

This study investigates energy efficiency issues of device-to-device (D2D) communications in heterogeneous networks. To minimize the total transmitted power, an approach based on Q-learning together with adaptive ɛ-greedy is proposed to optimize the connection of user equipment (UE) with base station (BS) or access point (AP). The proposed adaptive ɛ-greedy can conduct the adequate exploration and exploitation operations for effective optimization. Simulation results indicate that in the single-cell scenario, the proposed method can attain performance close to the best solution.