A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

A Robust Channel Access Using Cooperative Reinforcement Learning for Congested Vehicular Networks

Vehicular Ad-hoc Network (VANET) is an emerging technique dedicated to wireless vehicular communication to improve transportation safety by exchanging driving information between vehicles. For safety purposes, vehicles periodically broadcast a safety packet via Vehicle-to-Vehicle (V2V) communication...

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Bibliographic Details
Main Authors: Chungjae Choe, Jangyong Ahn, Junsung Choi, Dongryul Park, Minjun Kim, Seungyoung Ahn
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Vehicular ad-hoc network
congestion control
decentralized channel access
reinforcement learning
cooperative multi-agent systems
Online Access:https://ieeexplore.ieee.org/document/9146647/

Internet

https://ieeexplore.ieee.org/document/9146647/

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