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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 (2019)

First Author: Pressas A

Attributed to: Doing More with Less Wiring: Mission-Critical and Intelligent Communication Protocols for Future Vehicles Using Power Lines funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tvt.2019.2929035

Publication URI: http://dx.doi.org/10.1109/tvt.2019.2929035

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Vehicular Technology

Issue: 9