A Q-Learning Approach With Collective Contention Estimation for Bandwidth-Efficient and Fair Access Control in IEEE 802.11p Vehicular Networks

IEEE Transactions on Vehicular Technology - United States
doi 10.1109/tvt.2019.2929035
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Institute of Electrical and Electronics Engineers (IEEE)

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