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1 Ergebnisse
1
Deep Reinforcement Learning-Based Routing for Space-Terrest..:
, In:
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
,
Tsai, Kai-Chu
;
Yao, Ting-Jui
;
Huang, Pin-Hao
... - p. 1-5 , 2022
Link:
https://doi.org/10.1109/VTC2022-Fall57202.2022.1001302
RT T1
2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)
: T1
Deep Reinforcement Learning-Based Routing for Space-Terrestrial Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-10013028&Exemplar=1&LAN=DE A1 Tsai, Kai-Chu A1 Yao, Ting-Jui A1 Huang, Pin-Hao A1 Huang, Cheng-Sen A1 Han, Zhu A1 Wang, Li-Chun YR 2022 SN 2577-2465 K1 Wireless communication K1 Base stations K1 Vehicular and wireless technologies K1 Satellites K1 Simulation K1 Heuristic algorithms K1 Reinforcement learning K1 Non-terrestrial networks K1 low-earth orbit (LEO) satellites K1 satellite routing K1 deep reinforcement learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTC2022-Fall57202.2022.10013028 DO https://doi.org/10.1109/VTC2022-Fall57202.2022.10013028 SF ELIB - SuUB Bremen
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