Joint Optimization of LEO Satellite Constellation Parameters for Capacity-Constrained Coverage

This thesis introduces a framework for optimizing and analyzing LEO satellite constellations through the joint design of orbital parameters and payload configuration (i.e space segment antenna) to maximize system capacity. The approach integrates constellation geometry with antenna allocation per sa...

Descripción completa

Detalles Bibliográficos
Autor: Muñoz Sanchis, Joan
Tipo de recurso: tesis de maestría
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/451779
Acceso en línea:https://hdl.handle.net/2117/451779
Access Level:acceso abierto
Palabra clave:Artificial satellites in telecommunication
BC
BO
DPC
EI
GEO
GP
LEO
LHS
LOS
MAC
MIMO
MISO
MU-MIMO
NTN
QoS
RAAN
UPA
Satèl·lits artificials en telecomunicació
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
Descripción
Sumario:This thesis introduces a framework for optimizing and analyzing LEO satellite constellations through the joint design of orbital parameters and payload configuration (i.e space segment antenna) to maximize system capacity. The approach integrates constellation geometry with antenna allocation per satellite, using sum-capacity in multi-user MISO scenarios. To address the computational cost of evaluating each candidate design, Bayesian Optimization is employed as a sample-efficient black-box search method. Simulation results demonstrate that highlight the value of combining accurate capacity modeling with integrated constellation and hardware co-design. A sensitivity analysis is conducted in order to study the system parameters that have a greater impact on capacity. Specifically ,the aim of this analysis is to show the trade-off adding more antennas while diminishing the number of satellites, and vice-versa. The sensitivity analysis conducted has been done using active subspaces method with results obtained from a simulator that models satellite motion, beam steering, and capacity.