Communication Scheduling by Deep Reinforcement Learning for Remote Traffic State Estimation with Bayesian Inference
Artikel i vetenskaplig tidskrift, 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
Författare
Bile Peng
Technische Universität Braunschweig
Yuhang Xie
Technische Universität Braunschweig
G. Seco-Granados
Universitat Autonoma de Barcelona (UAB)
Henk Wymeersch
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Eduard A. Jorswieck
Technische Universität Braunschweig
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN) 1939-9359 (eISSN)
Vol. 71 4 4287-4300Ämneskategorier
Telekommunikation
Reglerteknik
Signalbehandling
DOI
10.1109/TVT.2022.3145105