On the use of neural networks for flexible payload management in VHTS systems

Ortíz Gómez, Flor de Guadalupe and Martínez Rodríguez-Osorio, Ramón and Salas Natera, Miguel Alejandro and Landeros Ayala, Salvador and Tarchi, Daniele and Vanelli Coralli, Alessandro (2019). On the use of neural networks for flexible payload management in VHTS systems. In: "25th Ka and Broadband Communications Conference 2019", 30/09/2019 - 02/10/2019, Sorrento, Italia. pp. 1-10.

Description

Title: On the use of neural networks for flexible payload management in VHTS systems
Author/s:
  • Ortíz Gómez, Flor de Guadalupe
  • Martínez Rodríguez-Osorio, Ramón
  • Salas Natera, Miguel Alejandro
  • Landeros Ayala, Salvador
  • Tarchi, Daniele
  • Vanelli Coralli, Alessandro
Item Type: Presentation at Congress or Conference (Article)
Event Title: 25th Ka and Broadband Communications Conference 2019
Event Dates: 30/09/2019 - 02/10/2019
Event Location: Sorrento, Italia
Title of Book: Proceedings of 25th Ka and Broadband Communications Conference 2019
Date: 2019
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2014-55735-C3-1-RENABLING-5GUnspecifiedInnovando en tecnologías radio para redes 5G
Government of SpainTEC2017-85529-C3-1-RFUTURE-RADIOUnspecifiedSistemas y Tecnología Radio para Comunicaciones Terrestres y Espaciales de Gran Capacidad en un Futuro Hiperconectado
Universidad Politécnica de MadridUnspecifiedUnspecifiedUnspecifiedUnspecified

More information

Item ID: 64707
DC Identifier: http://oa.upm.es/64707/
OAI Identifier: oai:oa.upm.es:64707
Official URL: https://www.researchgate.net/publication/336231618_ON_THE_USE_OF_NEURAL_NETWORKS_FOR_FLEXIBLE_PAYLOAD_MANAGEMENT_IN_VHTS_SYSTEMS
Deposited by: Memoria Investigacion
Deposited on: 26 Oct 2020 16:27
Last Modified: 26 Oct 2020 16:27
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