CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishVery High Throughput Satellites (VHTS) surpass the capacity of traditional systems providing FSS and BSS (fixed and broadcasting satellite services, respectively) using multi-beam coverage. The objective of VHTS systems is to achieve a satellite capacity of 1 Terabit/s in the near future. These systems provide greater satellite capacity at a reduced cost per Gbps in orbit, but further optimization is needed to use the full capacity of the satellite over time as traffic demand is non-uniform and changing over time. In other words, VHTS systems require flexible payloads to meet changing traffic demands. This paper presents a solution for the automatic management of a flexible payload architecture using a Neural Network and considering resource allocation as a classification problem.
| Titolo: | On the Use of Neural Networks for Flexible Payload Management in VHTS Systems | |
| Autore/i: | Flor G. Ortíz-Gómez; Ramón Martínez Rodríguez-Osorio; Miguel A. Salas-Natera; Salvador Landeros-Ayala; Daniele Tarchi; Vanelli Coralli, Alessandro | |
| Autore/i Unibo: | ||
| Anno: | 2019 | |
| Serie: | ||
| Titolo del libro: | 25th Ka and Broadband Communications Conference | |
| Pagina iniziale: | 1 | |
| Pagina finale: | 10 | |
| Abstract: | Very High Throughput Satellites (VHTS) surpass the capacity of traditional systems providing FSS and BSS (fixed and broadcasting satellite services, respectively) using multi-beam coverage. The objective of VHTS systems is to achieve a satellite capacity of 1 Terabit/s in the near future. These systems provide greater satellite capacity at a reduced cost per Gbps in orbit, but further optimization is needed to use the full capacity of the satellite over time as traffic demand is non-uniform and changing over time. In other words, VHTS systems require flexible payloads to meet changing traffic demands. This paper presents a solution for the automatic management of a flexible payload architecture using a Neural Network and considering resource allocation as a classification problem. | |
| Data stato definitivo: | 14-lug-2020 | |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
Copyright © 2022