The advancement of 5G and Internet-of-Things technologies has presented new challenges for telecommunications providers. One of the challenges is integrating these technologies with present networks. A solution has been found in low-Earth orbit satellite constellations. On one hand, this method increases coverage and reduces costs, but on the other it raises new problems like how to efficiently manage large constellations of spacecraft. This thesis introduces the Constellation Management System, developed in collaboration with i2Cat foundation. This novel tool is composed of two modules: the simulator and the scheduler. The former propagates satellite motion and computes visibility events to various targets across the globe, while the latter utilizes this information to generate an optimized task plan for all nodes in the network. The simulator is the focus of this work. Testing conducted in this investigation using several scenarios demonstrates the simulator's accuracy in both propagation and window determination. A new Lambert's solver employing the Theory of Functional Connections is developed, using functional interpolation to integrate the perturbed dynamics and boundary conditions directly into the formulation. The TFC framework allows the development of a faster, more robust algorithm compared to current methods.
","abstract_html":"<p>The advancement of 5G and Internet-of-Things technologies has presented new challenges for telecommunications providers. One of the challenges is integrating these technologies with present networks. A solution has been found in low-Earth orbit satellite constellations. On one hand, this method increases coverage and reduces costs, but on the other it raises new problems like how to efficiently manage large constellations of spacecraft. This thesis introduces the Constellation Management System, developed in collaboration with i2Cat foundation. This novel tool is composed of two modules: the simulator and the scheduler. The former propagates satellite motion and computes visibility events to various targets across the globe, while the latter utilizes this information to generate an optimized task plan for all nodes in the network. The simulator is the focus of this work. Testing conducted in this investigation using several scenarios demonstrates the simulator's accuracy in both propagation and window determination. A new Lambert's solver employing the Theory of Functional Connections is developed, using functional interpolation to integrate the perturbed dynamics and boundary conditions directly into the formulation. The TFC framework allows the development of a faster, more robust algorithm compared to current methods.</p>","abstract_has_math":false,"creators":["Criscola, Franco"],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Aerospace Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12-06T08:00:00Z","date_published":"2023-12-06T08:00:00Z","updated_at":"2026-07-27T19:26:28Z","subjects":["Coverage Planning","Theory of Functional Connections","Window of Coverage","Constellation Simulator","5G Internet of Things","Telecommunications","Navigation, Guidance, Control and Dynamics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/edt/785","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Criscola, Franco"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Aerospace Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Aerospace Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Coverage Planning","Theory of Functional Connections","Window of Coverage","Constellation Simulator","5G Internet of Things","Telecommunications","Navigation, Guidance, Control and Dynamics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://commons.erau.edu/edt/785"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The advancement of 5G and Internet-of-Things technologies has presented new challenges for telecommunications providers. One of the challenges is integrating these technologies with present networks. A solution has been found in low-Earth orbit satellite constellations. On one hand, this method increases coverage and reduces costs, but on the other it raises new problems like how to efficiently manage large constellations of spacecraft. This thesis introduces the Constellation Management System, developed in collaboration with i2Cat foundation. This novel tool is composed of two modules: the simulator and the scheduler. The former propagates satellite motion and computes visibility events to various targets across the globe, while the latter utilizes this information to generate an optimized task plan for all nodes in the network. The simulator is the focus of this work. Testing conducted in this investigation using several scenarios demonstrates the simulator's accuracy in both propagation and window determination. A new Lambert's solver employing the Theory of Functional Connections is developed, using functional interpolation to integrate the perturbed dynamics and boundary conditions directly into the formulation. The TFC framework allows the development of a faster, more robust algorithm compared to current methods.
"]},{"key":"dc:title","label":"Title","values":["Development of a Constellation Simulator for a 5G/IoT Mission Planning System"]}]}],"canonical_facts":{"dc:creator":["Criscola, Franco"],"dc:description.abstract":["The advancement of 5G and Internet-of-Things technologies has presented new challenges for telecommunications providers. One of the challenges is integrating these technologies with present networks. A solution has been found in low-Earth orbit satellite constellations. On one hand, this method increases coverage and reduces costs, but on the other it raises new problems like how to efficiently manage large constellations of spacecraft. This thesis introduces the Constellation Management System, developed in collaboration with i2Cat foundation. This novel tool is composed of two modules: the simulator and the scheduler. The former propagates satellite motion and computes visibility events to various targets across the globe, while the latter utilizes this information to generate an optimized task plan for all nodes in the network. The simulator is the focus of this work. Testing conducted in this investigation using several scenarios demonstrates the simulator's accuracy in both propagation and window determination. A new Lambert's solver employing the Theory of Functional Connections is developed, using functional interpolation to integrate the perturbed dynamics and boundary conditions directly into the formulation. The TFC framework allows the development of a faster, more robust algorithm compared to current methods.
"],"dc:identifier":["https://commons.erau.edu/edt/785"],"dc:subject":["Coverage Planning","Theory of Functional Connections","Window of Coverage","Constellation Simulator","5G Internet of Things","Telecommunications","Navigation, Guidance, Control and Dynamics"],"dc:title":["Development of a Constellation Simulator for a 5G/IoT Mission Planning System"],"thesis:degree_discipline":["Aerospace Engineering"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:26:28Z"}