Traffic estimation for dynamic capacity adaptation in load adaptive network operation regimes

Ahrens, Andreas; Lange, Christoph y Benavente Peces, César (2016). Traffic estimation for dynamic capacity adaptation in load adaptive network operation regimes. En: "SPCS 2016 - International Conference on Signal Processing and Communication Systems", 25/07/2016 - 27/07/2016, Lisboa (Portugal). ISBN 978-989-758-195-3. pp. 99-104. https://doi.org/10.5220/0005932800990104.

Descripción

Título: Traffic estimation for dynamic capacity adaptation in load adaptive network operation regimes
Autor/es:
  • Ahrens, Andreas
  • Lange, Christoph
  • Benavente Peces, César
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: SPCS 2016 - International Conference on Signal Processing and Communication Systems
Fechas del Evento: 25/07/2016 - 27/07/2016
Lugar del Evento: Lisboa (Portugal)
Título del Libro: Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2016)
Fecha: 2016
ISBN: 978-989-758-195-3
Materias:
Palabras Clave Informales: Traffic Prediction, Network Energy Efficiency, Wiener Filtering, Demand-aware Network Operation, Dynamic Network Dimensioning, Green Communications
Escuela: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Departamento: Teoría de la Señal y Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (296kB) | Vista Previa

Resumen

The energy demand of telecommunication equipment and networks has been identified to be significant. In the information society such networks are vital for societal and economic welfare as well as for the people’s private lives. Therefore an improved energy efficiency of telecommunication networks is essential in the context of sustainability and climate change. Load-adaptive regimes are a promising option for energy-efficient and sustainable network operation. As the capacity is adapted to temporally fluctuating traffic demands, they require a robust traffic demand estimation. As a potential solution to mitigate this problem, a method for reliable traffic demand forecasting on relevant time scales using Wiener filtering is presented. The results show that the capacity dimensioning based on the proposed Wiener filtering traffic estimation method leads to reliable outcomes enabling sustainable and efficient network operation.

Más información

ID de Registro: 46513
Identificador DC: http://oa.upm.es/46513/
Identificador OAI: oai:oa.upm.es:46513
Identificador DOI: 10.5220/0005932800990104
URL Oficial: http://www.spcs.peccs.org/Home.aspx?y=2016
Depositado por: Memoria Investigacion
Depositado el: 07 Jun 2018 08:59
Ultima Modificación: 07 Jun 2018 08:59
  • InvestigaM
  • GEO_UP4
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM