المؤلفون: Ju, Tao, Li, Linjuan, Huo, Jiuyuan, Li, Qinan

المصدر: 2023 9th International Conference on Computer and Communications (ICCC) Computer and Communications (ICCC), 2023 9th International Conference on. :832-836 Dec, 2023

Relation: 2023 9th International Conference on Computer and Communications (ICCC)

المؤلفون: Medeiros, Alisson, Di Maio, Antonio, Braun, Torsten, Neto, Augusto

المصدر: GLOBECOM 2022 - 2022 IEEE Global Communications Conference Global Communications Conference(48099), GLOBECOM 2022 - 2022 IEEE. :6133-6138 Dec, 2022

Relation: GLOBECOM 2022 - 2022 IEEE Global Communications Conference

المؤلفون: Cui, G., Li, X., Xu, L., Wang, W.

المصدر: IEEE Access Access, IEEE. 8:55915-55926 2020

المؤلفون: Gaofeng Cui, Xiaoyao Li, Lexi Xu, Weidong Wang

المصدر: IEEE Access, Vol 8, Pp 55915-55926 (2020)

مصطلحات موضوعية: Latency and energy optimization, MEC, SAT-IoT, deep reinforcement learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9043505/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/4b114001f8e14b928238b61bcc2a4f97

المؤلفون: Lexi Xu, Weidong Wang, Xiaoyao Li, Gaofeng Cui

المصدر: IEEE Access, Vol 8, Pp 55915-55926 (2020)

مصطلحات موضوعية: deep reinforcement learning, Mobile edge computing, General Computer Science, Computer science, business.industry, Distributed computing, MEC, General Engineering, SAT-IoT, 020206 networking & telecommunications, 020302 automobile design & engineering, 02 engineering and technology, Energy minimization, Latency and energy optimization, TK1-9971, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, Resource allocation, Reinforcement learning, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Markov decision process, Latency (engineering), Internet of Things, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a78626a19e83f5a280f4663ee89f3a
https://doi.org/10.1109/access.2020.2982356