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1 Ergebnisse
1
Energy Efficient IRS Assisted NOMA Aided Mobile Edge Comput..:
, In:
ICC 2023 - IEEE International Conference on Communications
,
Yu, Jiadong
;
Li, Yang
;
Liu, Xiaolan
... - p. 5352-5357 , 2023
Link:
https://doi.org/10.1109/ICC45041.2023.10279340
RT T1 <cTitle>ICC 2023 - IEEE International Conference on Communications</cTitle>: T1 <Title>Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10279340&Exemplar=1&LAN=DE A1 Yu, Jiadong A1 Li, Yang A1 Liu, Xiaolan A1 Sun, Bo A1 Wu, Yuan A1 Tsang, Danny H.K. YR 2023 SN 1938-1883 K1 Performance evaluation K1 NOMA K1 Multi-access edge computing K1 Reinforcement learning K1 Benchmark testing K1 Energy efficiency K1 Computational efficiency SP 5352 OP 5357 LK http://dx.doi.org/https://doi.org/10.1109/ICC45041.2023.10279340 DO https://doi.org/10.1109/ICC45041.2023.10279340 SF ELIB - SuUB Bremen
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