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...
| Author: | |
|---|---|
| Format: | master thesis |
| Publication Date: | 2025 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/451779 |
| Online Access: | https://hdl.handle.net/2117/451779 |
| Access Level: | Open access |
| Keyword: | 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 |
| Summary: | 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. |
|---|