Joint Power, Frequency and Precoding Optimisation in a Satellite SDMA Communication System

Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges

“…Finally, a large number of studies address the power allocation problem by means of AI and learning-based methods, where the goal is to autonomously choose how much power to provide to each beam while respecting beam-and satellite-wise maximum power constraints. Metaheuristic algorithms (GA (Aravanis et al 2015;Anzalchi et al 2010;Paris et al 2019), PSO (Durand and Abrão 2017;Pachler et al 2020), and SA (Vidal, Legay, and Goussetis 2020;Cocco et al 2018)) prove to be effective ways to meet these constraints. However, it is hard for them to scale up to thousands of beams and still converge in the range of seconds.…”

“…Next, studies fail to address the satellite as a part of a larger constellation network, and so they avoid the added complexity of this higher-dimensional problem. For example, most frequency assignment algorithms (e.g., (Vidal, Legay, and Goussetis 2020;Liao et al 2020)) overlook that, given the constellation dynamics, frequency must be assigned to beams that are constantly changing. An allocation that is valid for a specific point in time may have severe limitations at subsequent times, as different beams are handed over to a satellite following routing decisions.…”