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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Veröffentlicht in:	Computer networks (Amsterdam, Netherlands : 1999) Jg. 257; S. 110940
Hauptverfasser:	Wu, Shuang, Fang, Zhigeng, Hua, Chenchen, Tao, Liangyan, Zhang, Jingru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2025
Schlagworte:	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
Online-Zugang:	Volltext
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