Clustering Strategies for Multicast Precoding in Multi-Beam Satellite Systems
Alessandro Guidotti, Alessandro Vanelli-Coralli

TL;DR
This paper proposes clustering algorithms for user selection in multicast precoding within multi-beam satellite systems, aiming to maximize throughput by effectively grouping users for simultaneous service.
Contribution
It introduces a novel mathematical framework and fixed-/variable-size clustering algorithms specifically designed for multicast precoding in satellite communications.
Findings
Algorithms effectively improve system throughput
Trade-offs between cluster size and performance are identified
Numerical simulations validate the proposed methods
Abstract
Next generation multi-beam SatCom architectures will heavily exploit full frequency reuse schemes along with interference management techniques, e.g., precoding or multiuser detection, to drastically increase the system throughput. In this framework, we address the problem of the user selection for multicast precoding by formulating it as a clustering problem. By introducing a novel mathematical framework, we design fixed-/variable-size clustering algorithms that group users into simultaneously precoded and served clusters while maximising the system throughput. Numerical simulations are used to validate the proposed algorithms and to identify the main system-level trade-offs.
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