A DRL-based RAQ-GERT dynamic resource allocation algorithm considering utility for multibeam satellite system

With the evolution and popularity of smart devices, the demand and requirement (e.g., communication, file transfer) of satellite users have increased rapidly. Moreover, users have different preferences for services and the quality of service (QoS), like delay and throughput, which leads to user hete...

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Vydané v:	Computer networks (Amsterdam, Netherlands : 1999) Ročník 257; s. 110940
Hlavní autori:	Wu, Shuang, Fang, Zhigeng, Hua, Chenchen, Tao, Liangyan, Zhang, Jingru
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2025
Predmet:	Deep reinforcement learning (DRL) Dynamic resource management (DRM) Multibeam satellite system (MSS) Quality of service (QoS) Queuing graphical evaluation and review technique (Q-GERT) System utility Multibeam satellite system (MSS) Quality of service (QoS) Queuing graphical evaluation and review technique (Q-GERT) Deep reinforcement learning (DRL) Dynamic resource management (DRM) System utility
ISSN:	1389-1286
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