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A Q-Learning Approach With Collective Contention Estimation for Bandwidth-Efficient and Fair Access Control in IEEE 802.11p Vehicular Networks 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 页码: 9136-9150
作者:  Pressas, Andreas;  Sheng, Zhengguo;  Ali, Falah;  Tian, Daxin
收藏  |  浏览/下载:14/0  |  提交时间:2019/12/30
Contention-based Learning MAC Protocol for Broadcast Vehicle-to-Vehicle Communication 会议论文
2017 IEEE VEHICULAR NETWORKING CONFERENCE (VNC), 2017-01-01
作者:  Pressas, Andreas;  Sheng, Zhengguo;  Ali, Falah;  Tian, Daxin;  Nekovee, Maziar
收藏  |  浏览/下载:3/0  |  提交时间:2019/12/30


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