Autonomic management of future wireless networks

Manzoor Ahmed Khan, Hamidou Tembine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The traditional human controlled network management approaches may not cope with the envisioned virtualized and more dynamic mobile communication paradigm. We propose an autonomic network management and policy execution framework that re-factors the network functionalities by decomposing the network architecture into hierarchical layers. We propose an hybrid self-learning scheme and present an aggregate approach to efficient learning without reconstructing from scratch for each layer, cluster, and player, for a variety of learning algorithms widely used in practical network management. To evaluate performance of proposed framework, we develop a full-scale demonstrator. Results confirm that system learns autonomously.

Original languageEnglish (US)
Title of host publication26th International Telecommunication Networks and Applications Conference, ITNAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-148
Number of pages4
ISBN (Electronic)9781509009190
DOIs
StatePublished - Mar 14 2017
Event26th International Telecommunication Networks and Applications Conference, ITNAC 2016 - Dunedin, New Zealand
Duration: Dec 7 2016Dec 9 2016

Publication series

Name26th International Telecommunication Networks and Applications Conference, ITNAC 2016

Other

Other26th International Telecommunication Networks and Applications Conference, ITNAC 2016
CountryNew Zealand
CityDunedin
Period12/7/1612/9/16

ASJC Scopus subject areas

  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Information Systems
  • Computer Networks and Communications

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