Communication Scheduling by Deep Reinforcement Learning for Remote Traffic State Estimation with Bayesian Inference
Journal article, 2022
Optimization
Estimation
Autonomous driving
Bayesian filtering
Noise measurement
resource allocation
deep reinforcement learning
interacting multiple model
Vehicle dynamics
Bayes methods
Time measurement
Sensors
proximal policy optimization
soft actorcritic
power control
Author
Bile Peng
Technische Universität Braunschweig
Yuhang Xie
Technische Universität Braunschweig
G. Seco-Granados
Universitat Autonoma de Barcelona (UAB)
Henk Wymeersch
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Eduard A. Jorswieck
Technische Universität Braunschweig
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN) 1939-9359 (eISSN)
Vol. 71 4 4287-4300Subject Categories
Telecommunications
Control Engineering
Signal Processing
DOI
10.1109/TVT.2022.3145105