Article (Scientific journals)
Beam Illumination Pattern Design in Satellite Networks: Learning and Optimization for Efficient Beam Hopping
Lei, Lei; Lagunas, Eva; Yuan, Yaxiong et al.
2020In IEEE Access
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Keywords :
Beam hopping; Machine Learning; Neural Network; Optimization; Satellite Communications
Abstract :
[en] Beam hopping (BH) is considered to provide a high level of flexibility to manage irregular and time-varying traffic requests in future multi-beam satellite systems. In BH optimization, adopting conventional iterative heuristics may have their own limitations in providing timely solutions, and directly using data-driven technique to approximate optimization variables may lead to constraint violation and degraded performance. In this paper, we explore a combined learning-and-optimization (L&O) approach to provide an efficient, feasible, and near-optimal solution. The investigations are from the following aspects: 1) Integration ofBH optimization and learning techniques; 2) Features to be learned in BH design; 3) How to address the feasibility issue incurred by machine learning. We provide numerical results and analysis to show that the learning component in L&O significantly accelerates the procedure of identifying promising BH patterns, resulting in reduced computing time from seconds/minutes to milliseconds level. The identified learning feature enables high accuracy in predictions. In addition, the optimization component in L&O guarantees the solution’s feasibility and improves the overall performance with around 5% gap to the optimum.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Lei, Lei ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Lagunas, Eva  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Yuan, Yaxiong ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Kibria, Mirza ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
Beam Illumination Pattern Design in Satellite Networks: Learning and Optimization for Efficient Beam Hopping
Publication date :
July 2020
Journal title :
IEEE Access
ISSN :
2169-3536
Publisher :
IEEE, United States
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR11632107 - Resource Optimization For Integrated Satellite-5g Networks With Non-orthogonal Multiple Access, 2017 (01/09/2018-31/08/2021) - Lei Lei
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since 04 September 2020

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