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Improved satellite resource allocation algorithm based on DRL and MOP

In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.With considering the...

Täydet tiedot

Tallennettuna:
Päätekijät: Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG
Aineistotyyppi: Artigo
Kieli:Chinês
Julkaistu: Editorial Department of Journal on Communications 2020-06-01
Sarja:Tongxin xuebao
Aiheet:
multi-beam satellite system;resource allocation;sequential decision-making;deep reinforcement learning;multi-objective optimization
Linkit:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020117
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