Joint beam hopping and coverage control optimization algorithm for multibeam satellite system

To improve the performance of multibeam satellite (MBS) systems, a deep reinforcement learning-based algorithm to jointly optimize the beam hopping and coverage control (BHCC) algorithm for MBS was proposed.Firstly, the resource allocation problem in MBS was transformed to a multi-objective optimiza...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Guoliang XU, Feng TAN, Yongyi RAN, Feng CHEN
Materialtyp:	Artigo
Språk:	Chinês
Utgiven:	Editorial Department of Journal on Communications 2023-04-01
Serie:	Tongxin xuebao
Ämnen:	multibeam satellite;deep reinforcement learning;beam hopping technology;beam coverage control
Länkar:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2023076
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!