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1 Ergebnisse
1
Traffic Steering for 5G Multi-RAT Deployments using Deep Re..:
, In:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
,
Habib, Md Arafat
;
Zhou, Hao
;
Iturria-Rivera, Pedro Enrique
... - p. 164-169 , 2023
Link:
https://doi.org/10.1109/CCNC51644.2023.10060026
RT T1 <cTitle>2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10060026&Exemplar=1&LAN=DE A1 Habib, Md Arafat A1 Zhou, Hao A1 Iturria-Rivera, Pedro Enrique A1 Elsayed, Medhat A1 Bavand, Majid A1 Gaigalas, Raimundas A1 Furr, Steve A1 Erol-Kantarci, Melike YR 2023 SN 2331-9860 K1 Q-learning K1 5G mobile communication K1 Heuristic algorithms K1 Quality of service K1 Throughput K1 Load management K1 User experience K1 Multi-RAT K1 traffic steering K1 reinforcement learning SP 164 OP 169 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51644.2023.10060026 DO https://doi.org/10.1109/CCNC51644.2023.10060026 SF ELIB - SuUB Bremen
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