An EVEBO-Based BTS Localization Algorithm

In this paper, we use EVEBO, an election-inspired optimization algorithm, to solve the BTS (i.e. transceiver) localization problem. The proposed method tries to solve the classic and very important problem of achieving maximum coverage with minimum number of BTSs in a specified geographical area. It also tries to reduce the over-coverage rate, one of the undesirable phenomena in cellular networks. The EVEBO’s merit in solving the problem is measured by a common fitness function, and speed of convergence. Simulation results show that EVEBO solves the problem in much less number of evaluations compared to the best results reported in the literature for square-coverage transceivers. We also show that it can be used in a scenario involving more challenging non-square-coverage (almost circular) transceiver type with satisfactory results.

• Publication year

  2017

• Venue

  International Joint Conference on Computational Intelligence

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.5220/0006500902650272
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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