[en] A satellite communication system will be vital in
providing services for increasingly heterogeneous 5G and beyond
applications. However, before the satellite can be launched or
operated in space, the service operator and manufacturers must
design it to meet this diverse demand. In this paper, we propose
an efficient resource planning method for the next generation
of satellite communication systems. This method enables service
operators and manufacturers to determine the necessary speci fications of the satellite, such as the number of spot beams, DC
power, antenna size, mass, and cost, to meet the requirements
of 5G and beyond applications. We develop an algorithm that
combines a search algorithm, greedy algorithm, and convex
optimization to estimate these parameters. We evaluate the
proposed algorithm’s performance against benchmark schemes
through extensive numerical results, demonstrating superior
resource planning capabilities.
Disciplines :
Electrical & electronics engineering
Author, co-author :
ABDU, Tedros Salih ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
HA, Vu Nguyen ; 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
External co-authors :
no
Language :
English
Title :
Optimizing Resource Planning for Next-Generation Satellite Communication Systems
Publication date :
2024
Event name :
IEEE GLOBECOM 2024 Workshop
Event organizer :
IEEE
Event place :
Cape Town, South Africa
Event date :
8–12 December 2024
Audience :
International
Peer reviewed :
Peer reviewed
References of the abstract :
A satellite communication system will be vital in
providing services for increasingly heterogeneous 5G and beyond
applications. However, before the satellite can be launched or
operated in space, the service operator and manufacturers must
design it to meet this diverse demand. In this paper, we propose
an efficient resource planning method for the next generation
of satellite communication systems. This method enables service
operators and manufacturers to determine the necessary speci fications of the satellite, such as the number of spot beams, DC
power, antenna size, mass, and cost, to meet the requirements
of 5G and beyond applications. We develop an algorithm that
combines a search algorithm, greedy algorithm, and convex
optimization to estimate these parameters. We evaluate the
proposed algorithm’s performance against benchmark schemes
through extensive numerical results, demonstrating superior
resource planning capabilities.
