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MDPRP: A Q-learning approach for the joint control of beaco..:
Aznar Poveda, Juan
;
García Sánchez, Antonio Javier
;
Egea López, Esteban
.
Control de congestión y asignación de recursos en redes vehiculares mediante algoritmos de optimización e inteligencia artificial. , 2021
Link:
http://hdl.handle.net/10317/11432
RT Journal T1 <Title>MDPRP: A Q-learning approach for the joint control of beaconing rate and transmission power in VANETs</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivcartag:oai:repositorio.upct.es:10317_11432&Exemplar=1&LAN=DE A1 Aznar Poveda, Juan A1 García Sánchez, Antonio Javier A1 Egea López, Esteban A1 García Haro, Juan PB IEEE YR 2021 K1 Vehicular ad-hoc networks K1 Connected vehicles K1 Vehicle-to-vehicle (V2V) communications K1 Congestion control K1 Power control K1 Rate control K1 Reinforcement learning K1 IEEE 802.11p K1 SAE J2945/1 K1 Ingeniería Telemática K1 3325 Tecnología de las Telecomunicaciones JF Control de congestión y asignación de recursos en redes vehiculares mediante algoritmos de optimización e inteligencia artificial LK http://hdl.handle.net/10317/11432 DO http://hdl.handle.net/10317/11432 SF ELIB - SuUB Bremen
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