A Q-Learning Approach With Collective Contention Estimation for Bandwidth-Efficient and Fair Access Control in IEEE 802.11p Vehicular Networks (2019)
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