计算机技术与发展2017，Vol.27Issue(3)：85-90,6.DOI:10.3969/j.issn.1673-629X.2017.03.018
车载通信中基于Q学习的信道接入技术研究
Research on Technology of Channel Access Based on Q-Learning Algorithm for Vehicular Communication
摘要
Abstract
A Q-Learning based back-off algorithm is proposed because the traditional DCF approach used for IEEE 802. 11p MAC pro-tocol to access the channel has some problems of the low packet delivery rate,high delay and the poor scalability in VANETs. The pro-posed algorithm,which is quite different from the traditional BEB algorithm,is adopted by the nodes ( Agents) to interact with surround-ings continuously and learn from each other. The vehicle nodes adjust the size of CW ( Contention Window) dynamically according to the results learned from the surroundings so that the nodes can access the channel with the optimal CW eventually minimizing the packet col-lisions and end-to-end delay. The simulation results show that the communication nodes using the proposed algorithm can adapt to the unknown vehicular environment rapidly,and simultaneously the high packet delivery ratio,low end-to-end delay and high fairness can be achieved for vehicular network with various level load.关键词
车载网络/BEB算法/竞争窗口/Q学习算法/分布式协调功能Key words
vehicular network/BEB algorithm/contention window/Q-Learning algorithm/DCF分类
信息技术与安全科学引用本文复制引用
杜艾芊,赵海涛,刘南杰..车载通信中基于Q学习的信道接入技术研究[J].计算机技术与发展,2017,27(3):85-90,6.基金项目
国家"973"重点基础研究发展计划项目(2013CB329005) （2013CB329005）
国家自然科学基金资助项目(61302100,61101105,61201162) （61302100,61101105,61201162）
江苏省基础研究计划-重点研究专项基金(BK2011027,BK2012434) （BK2011027,BK2012434）
江苏省高校自然科学研究基金(12KJB510022,12KJB510020) （12KJB510022,12KJB510020）
