Memorias de investigación
Communications at congresses:
ON THE USE OF NEURAL NETWORKS FOR FLEXIBLE PAYLOAD MANAGEMENT IN VHTS SYSTEMS
Year:2019
Research Areas
  • Engineering,
  • Telecommunications
Information
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.
International
Si
Congress
25th Ka and Broadband Communications Conference
960
Place
Sorrento, Italia
Reviewers
Si
ISBN/ISSN
2573-6124
Start Date
30/09/2019
End Date
02/10/2019
From page
1
To page
10
25a Conferencia de comunicaciones de banda ancha y Ka
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Radiación
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Señales, Sistemas y Radiocomunicaciones