Dynamic Demand Modelling and Optimisation for Satellite Beam Hopping Systems
Term
4. semester
Education
Publication year
2025
Submitted on
2025-06-04
Pages
48
Abstract
This thesis investigates beam hopping (BH) in satellite networks as a method for serving dynamic and non-uniform user demand. A Markov-based model is used to simulate user activity, and an optimisation problem is formulated to maximise the minimum capacity-to-demand ratio using predictive demand estimates. Simulation results indicate that demand-aware allocation generally improves demand satisfaction compared to naive time-split strategies, but the benefits of predictive optimisation are limited and highly dependent on user dynamics. The work highlights scenario-specific performance variation and discusses the challenges of computational complexity and user modelling. Future directions include more realistic user behaviour, advanced prediction, and scalable solution methods for practical BH deployment
Keywords
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