Next generation multibeam SatCom architectures will heavily exploit full frequency reuse schemes along with interference management techniques, eg, 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.
Guidotti, A., Vanelli‐Coralli, A. (2020). Clustering strategies for multicast precoding in multibeam satellite systems. INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING, 38(2), 85-104 [10.1002/sat.1312].
Clustering strategies for multicast precoding in multibeam satellite systems
Guidotti, Alessandro
;Vanelli‐Coralli, Alessandro
2020
Abstract
Next generation multibeam SatCom architectures will heavily exploit full frequency reuse schemes along with interference management techniques, eg, 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.File | Dimensione | Formato | |
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