Flexible GEO satellite; Carrier allocation; Power allocation; Demand matching
Résumé :
[en] Conventional GEO satellite communication systems rely on a multibeam foot-print with a uniform resource allocation to provide connectivity to users. However, applying uniform resource allocation is inefficient in presence of non-uniform demand distribution. To overcome this limitation, the next generation of broadband GEO satellite systems will enable flexibility in
terms of power and bandwidth assignment, enabling on-demand resource allocation. In this paper, we propose a novel satellite resource assignment design whose goal is to satisfy the beam traffic demand by making use of the minimum transmit power and utilized bandwidth. The motivation behind the proposed design is to maximize the satellite spectrum utilization by pushing the spectrum reuse to affordable limits in terms of tolerable interference. The proposed problem formulation results in a non-convex optimization structure, for which we propose an
efficient tractable solution. We validate the proposed method with extensive numerical results, which demonstrate the efficiency of the proposed approach with respect to benchmark schemes.
Disciplines :
Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
ABDU, Tedros Salih ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
KISSELEFF, Steven ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
LAGUNAS, Eva ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Flexible Resource Optimization for GEO Multibeam Satellite Communication System
Date de publication/diffusion :
10 décembre 2021
Titre du périodique :
IEEE Transactions on Wireless Communications
ISSN :
1536-1276
eISSN :
1558-2248
Maison d'édition :
Institute of Electrical and Electronics Engineers, New York, Etats-Unis - New York
Pagination :
1-15
Peer reviewed :
Peer reviewed vérifié par ORBi
Focus Area :
Security, Reliability and Trust
Projet FnR :
FNR13696663 - Resource Optimization For Next Generation Of Flexible Satellite Payloads, 2019 (01/03/2020-31/08/2023) - Eva Lagunas