Throughput Maximization With an AoI Constraint in Energy Harvesting D2D-Enabled Cellular Networks: An MSRA-TD3 Approach

• Published in: IEEE transactions on wireless communications Vol. 24; no. 2; pp. 1448 - 1466
• Main Authors: Liu, Xiaoying, Xu, Jiaxiang, Zheng, Kechen, Zhang, Guanglin, Liu, Jia, Shiratori, Norio
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2025; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: age of information; Algorithms; Bandwidth; Cellular communication; Constraints; Copper; D2D communication; deep reinforcement learning; Device-to-device communication; Energy harvesting; Interference; Internet of Things; Modal choice; mode selection and resource allocation; Optimization; Performance evaluation; Receivers; Resource allocation; Resource management; RF signals; Throughput; Wireless networks

The energy harvesting D2D-enabled cellular network (EH-DCN) has emerged as a promising approach to address the issues of energy supply and spectrum utilization. Most of existing works mainly focus on the throughput, while the information freshness, which is critical to the time-sensitive application...