Multi-beam high throughput satellite communications; multi-objective optimization; neural networks; quality of service requirements; High-throughput; Multi-beam high throughput satellite communication; Multi-objectives optimization; Multibeams; Neural-networks; Non-geostationary satellites; Quality of service requirement; Quality-of-service; Satellite communications; Service requirements; Automotive Engineering; Aerospace Engineering; Computer Networks and Communications; Electrical and Electronic Engineering
Abstract :
[en] This paper addresses the evolving role of Nongeostationary (Non-GSO) satellite systems, specifically focusing on homogeneous constellations in either low Earth orbit (LEO) or medium Earth orbit (MEO). These systems, known for their low latency due to their proximity to Earth, incorporate advanced developments in payload and antenna technologies including adaptive radio resource management and beam forming capabilities. The study investigates key issues in multi-beam satellite systems, including beam footprint design, user-to-beam assignments, and the optimal distribution of radio resources. We introduce a novel problem aimed at optimizing beam placement and balancing user loads in Non-GSO satellite systems, which results in a mixed-integer non-convex formulation. For practically appealing applications, we relax the binary variables and propose the continuous relaxation problem using the inner convex approximation framework and a penalty method to further speed up the convergence. The proposed method addresses a complex, previously unexplored non-convex and NP-hard optimization problem, offering a practical and efficient polynomial-time solution. Experimental results underscore the effectiveness of our approach, demonstrating significant improvements over existing benchmarks and providing new insights into the optimization of satellite communication systems
Disciplines :
Computer science
Author, co-author :
Bui, Van-Phuc; Aalborg University, Department of Electronic Systems, Denmark
Van Chien, Trinh; Hanoi University of Science and Technology (HUST), School of Information and Communications Technology (SoICT), Hanoi, Viet Nam
LAGUNAS, Eva ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Grotz, Joel; Ses, Betzdorf, Luxembourg
Popovski, Petar; Aalborg University, Department of Electronic Systems, Denmark
External co-authors :
yes
Language :
English
Title :
Demand-Based Adaptive Multi-Beam Placement and Resource Allocation in Non-GSO Satellite Systems
Publication date :
16 September 2025
Journal title :
IEEE Transactions on Vehicular Technology
ISSN :
0018-9545
Publisher :
Institute of Electrical and Electronics Engineers Inc.
V.-P Bui, and P. Popovski (emails: {vpb, petarp}@es.aau.dk) are all with the Department of Electronic Systems, Aalborg University, Denmark. Trinh Van Chien (emails: chientv@soict.hust.edu.vn) is with the School of Information and Communications Technology (SoICT), Hanoi University of Science and Technology (HUST), Hanoi 100000, Vietnam. Eva Lagunas (e-mail: eva.lagunas@uni.lu) is with Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg. J\u00F6el Grotz (e-mail: joel.grotz@ses.com) is with SES, 6815 Betzdorf, Luxembourg. This work was supported by the Villum Investigator Grant \u201CWATER\u201D from the Velux Foundation, Denmark. This research is funded by the Vietnam Ministry of Education and Training under project number B2025-BKA04 for Trinh Van Chien. The work of Eva Lagunas has received funding from the Luxembourg National Research Fund (FNR) under the project SmartSpace (C21/IS/16193290). An earlier version of this paper was presented in part at the IEEE Meditcom 2022 [1].
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