@inproceedings{719bf0ac296a4532875aab4ee4e13625,
title = "Heterogeneous Network Selection Algorithm Based on Reinforcement Learning",
abstract = "In the current network environment, multiple wireless access technologies coexist. In order to meet the needs of various services in heterogeneous networks, in order to enable each user to select the most appropriate network to provide services and adapt to the dynamic changes of the network environment, this paper defines the markov decision-making process of network selection based on reinforcement learning, taking the heterogeneous network constructed by PDT and B-trunC as the background A network access control algorithm based on reinforcement learning is proposed, which fully considers the service type of session and the mobility of terminal, and realizes the adaptability of network selection.",
keywords = "Heterogeneous network, Mobility, Reinforcement learning",
author = "Sheng Yu and Wei, \{Shou Ming\} and Meng, \{Wei Xiao\} and He, \{Chen Guang\}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 9th International Conference on Communications, Signal Processing, and Systems, CSPS 2020 ; Conference date: 04-07-2020 Through 05-07-2020",
year = "2021",
doi = "10.1007/978-981-15-8411-4\_7",
language = "英语",
isbn = "9789811584107",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "56--63",
editor = "Qilian Liang and Wei Wang and Xin Liu and Zhenyu Na and Xiaoxia Li and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 9th International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}