Resource Allocation Techniques in Multibeam Satellites: Conventional Methods vs. AI/ML Approaches

Abstract

This paper presents a comprehensive survey of advancements in resource allocation techniques within the realm of multibeam satellites, focusing specifically on four key areas related to payload beam hopping, along with allocations of power, bandwidth, and beamwidth. It provides a comprehensive examination of traditional approaches alongside the innovative adoption of artificial intelligence and machine learning (AI/ML) methods to tackle these obstacles. A comprehensive analysis is carried out to investigate the possible approaches to enhance the resource allocation efficiency further. While acknowledging the plethora of topics within the multibeam satellite domain, this study deliberately narrows its focus to these four fundamental aspects, providing a nuanced understanding of the evolving landscape in satellite communications.