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1 Ergebnisse
1
Hierarchical Reinforcement Learning for RIS-Assisted Energy..:
, In:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference
,
Zhou, Hao
;
Kong, Long
;
Elsayed, Medhat
... - p. 3326-3331 , 2022
Link:
https://doi.org/10.1109/GLOBECOM48099.2022.10001554
RT T1 <cTitle>GLOBECOM 2022 - 2022 IEEE Global Communications Conference</cTitle>: T1 <Title>Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10001554&Exemplar=1&LAN=DE A1 Zhou, Hao A1 Kong, Long A1 Elsayed, Medhat A1 Bavand, Majid A1 Gaigalas, Raimundas A1 Furr, Steve A1 Erol-Kantarci, Melike YR 2022 K1 6G mobile communication K1 Base stations K1 Power demand K1 5G mobile communication K1 Reinforcement learning K1 Telecommunication traffic K1 Reconfigurable intelligent surfaces K1 Reconfigurable Intelligent Surfaces (RIS) K1 Hier-archical Reinforcement Learning (HRL) K1 energy efficiency (EE) K1 radio access network (RAN) SP 3326 OP 3331 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM48099.2022.10001554 DO https://doi.org/10.1109/GLOBECOM48099.2022.10001554 SF ELIB - SuUB Bremen
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