Evaluation of signalling loads in a cognitive network management architecture

  • Authors:
  • Kostas Tsagkaris;Maria Akezidou;Aristi Galani;Panagiotis Demestichas

  • Affiliations:
  • University of Piraeus, Piraeus, 18534, Greece;University of Piraeus, Piraeus, 18534, Greece;University of Piraeus, Piraeus, 18534, Greece;University of Piraeus, Piraeus, 18534, Greece

  • Venue:
  • International Journal of Network Management
  • Year:
  • 2012

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Abstract

Future networks will need to accommodate a significantly augmented user demand, mainly stemming from the wireless and mobile domains. In general, the emerging radio landscape will comprise multiple, collaborating radio access networks (RANs) able to operate a plethora of diverse radio access technologies (RATs), variant types of mobile terminals (MTs), with the ability to choose among various supported RANs/RATs and, in addition, both devices and networks with dynamic spectrum access capabilities that allow the sharing and/or optimization of spectrum usage among different systems. The above will stress network operators for developing mechanisms to confront the challenges and to leverage the opportunities posed by such a versatile radio environment. In particular, the situation calls for adaptive and flexible management paradigms that are able to dynamically manage network elements and terminals, thus ensuring the great availability and efficient usage of spectrum and other radio resources. Framed within the above, this paper considers a cognitive network management architecture, which is destined for optimized management of future wireless networks operating in versatile radio environments, and presents a performance evaluation methodology, which was set up for measuring the signalling loads that the operation of the architecture will bring to the managed network. The methodology is analytically described, and useful results with respect to the signalling load produced for management signalling purposes in an indicative scenario are presented and analysed. Copyright © 2011 John Wiley & Sons, Ltd. (The paper considers a cognitive network management architecture, which aims at ensuring efficient usage of spectrum and radio resources in future, complex wireless networks. It also presents a methodology for measuring the signalling loads and associated delays that the operation of the architecture will bring into the network. Results from the application to an indicative ‘new spectrum assignment’ scenario provide conclusions to be taken into account when deploying the architecture, so that the overall network operation will not be aggravated from such deployment.)