@inproceedings{26be4817f7ff47fbb2f8117a9aea3189,
title = "Q-Learning Based Optimum Relay Selection for a SWIPT-Enabled Wireless System",
abstract = "This paper exploits q-learning to solve the optimization of relay resource allocation in a SWIPT system in order to maximize the overall source nodes communication rate. The traditional method based on greedy strategy search can find the current optimal relay. However, this method does not adapt to the changes of the dynamic network and is easy to fall into the local optimum. In q-learning, agents are driven to intelligently switch strategies to obtain rewards for complex dynamic environments. A multi-source node competition relay environment is created. Our proposed scheme treats the optimised objective as an environmental reward and models the process of relay selection as a Markovian decision process. After experimental simulations and comparisons, the proposed scheme improves the overall throughput and resource utilisation in an environment where multiple source nodes compete with each other, and performs significantly better than the greedy strategy.",
keywords = "Reinforcement learning, Relay selection, Simultaneous wireless information and power transfer",
author = "Haojie Wang and Bo Li",
note = "Publisher Copyright: {\textcopyright} 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 3rd EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2021 ; Conference date: 23-10-2021 Through 24-10-2021",
year = "2021",
doi = "10.1007/978-3-030-90196-7\_10",
language = "英语",
isbn = "9783030901950",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "100--107",
editor = "Xianbin Wang and Kai-Kit Wong and Shanji Chen and Mingqian Liu",
booktitle = "Artificial Intelligence for Communications and Networks - 3rd EAI International Conference, AICON 2021, Proceedings",
address = "德国",
}