Communication Scheduling by Deep Reinforcement Learning for Remote Traffic State Estimation with Bayesian Inference
Artikel i vetenskaplig tidskrift, 2022
resource allocation
Estimation
Optimization
soft actorcritic
Noise measurement
Bayes methods
power control
Autonomous driving
deep reinforcement learning
Bayesian filtering
interacting multiple model
Sensors
Vehicle dynamics
proximal policy optimization
Time measurement
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, Kommunikationssystem
Eduard A. Jorswieck
Technische Universität Braunschweig
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN)
Vol. In PressÄmneskategorier
Telekommunikation
Reglerteknik
Signalbehandling
DOI
10.1109/TVT.2022.3145105