Artificial intelligence-based novel scheme for location area planning in cellular networks

Vrince Vimal, Teekam Singh, Shamimul Qamar, Bhaskar Nautiyal, Kamred Udham Singh, Abhishek Kumar

Research output: Contribution to journalArticlepeer-review

149 Citations (Scopus)

Abstract

Planning of location area (LA) in cellular networks plays a vital role in utilizing the resources efficiently and economically. Location update and paging costs directly affect the cost to the service provider. When the size of the Mobile Switching Centre (MSC) is large, the paging cost becomes maximum. Though, no location update is required for this case. On the contrary, paging cost shoots high if each cell forms individual LA, but in this case, location update cost shoots to the maximum value. Therefore, deducing the network to the optimal amount of LA's is an intractable combinatorial optimization problem. In this paper, we intend to optimize the partitions of the MSC service area into an optimal number of LA, to curtail the total location management cost. We propose a novel scheme bearing in mind cell attributes of the network to deduce an optimum number of location areas, leading to minimum cost per call. It is revealed by the results of this work, attained after simulating the scenario on MATLAB 2018a that Cell Attributes Based Algorithm is a very promising scheme for cellular networks, and it outperforms the existing algorithms in a practical scenario.

Original languageEnglish
Pages (from-to)1338-1354
Number of pages17
JournalComputational Intelligence
Volume37
Issue number3
DOIs
Publication statusPublished - 2021 Aug

All Science Journal Classification (ASJC) codes

  • Computational Mathematics
  • Artificial Intelligence

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