@inproceedings{a1bec517e3c44af195543a37ef41b26c,
title = "Centralized Spectrum Sharing Using Reinforcement Learning",
abstract = "Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.",
keywords = "Centralized, LTE-U, Reinforcement learning, Spectrum sharing",
author = "Yang Miao and Ye Neng and Li Jianguo and Yu Hanxiao",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd International Conference on Information Science and Control Engineering, ICISCE 2016 ; Conference date: 08-07-2016 Through 10-07-2016",
year = "2016",
month = oct,
day = "31",
doi = "10.1109/ICISCE.2016.273",
language = "English",
series = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1275--1280",
editor = "Shaozi Li and Yun Cheng and Ying Dai",
booktitle = "Proceedings - 2016 3rd International Conference on Information Science and Control Engineering, ICISCE 2016",
address = "United States",
}