Network planning algorithms for optimizing signalling load in mobile networks

Vilmos Simon, Sándor Imre

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In the next generation IP-based mobile networks, one of the most important QoS parameters are the delay and the delay variation. The cell handover causes incremental signaling traffic, which can be critical from the point of view of delay variation. It worsens the quality parameters of the real-time services, which are the backbone of next generation mobile commercial services. We have designed and implemented two algorithms: a location area forming algorithm (LAFA) and a cell regrouping algorithm (CEREAL), which can help us to guarantee QoS parameters in the next generation mobile networks. We used our realistic mobile environment simulator to generate input statistics on cell changes and incoming call for our algorithms and by comparing the values of the cost functions proposed by us, we recognized that significant reduction was achieved in the amount of the signaling traffic, the location update cost was decreased by 40-60% in average. To confirm the results obtained by the realistic mobile environment simulator, a vehicular mobility simulator was used for generating the input to the algorithms for realistic vehicle mobility behavior. The same was recognized, that by employing our LA forming schemes, a significant reduction was attained in the signalling traffic that causes delay and delay variation, helping us improving QoS parameters in general.

Original languageEnglish
Title of host publicationBreakthrough Perspectives in Network and Data Communications Security, Design and Applications
PublisherIGI Global
Pages139-153
Number of pages15
ISBN (Print)9781605661483
DOIs
Publication statusPublished - Dec 1 2008

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Simon, V., & Imre, S. (2008). Network planning algorithms for optimizing signalling load in mobile networks. In Breakthrough Perspectives in Network and Data Communications Security, Design and Applications (pp. 139-153). IGI Global. https://doi.org/10.4018/978-1-60566-148-3.ch009