Title: New optimisation method to minimise overshooting problem in LTE using genetic algorithms based on Laplace crossover
Authors: Mohamed Amine Ouamri; Mohamed Azni
Addresses: Laboratoire D'informatique Médicale (LIMED), Faculté de Téchnologie, Département ATE, Université de Bejaia, Algeria ' Laboratoire D'informatique Médicale (LIMED), Faculté de Téchnologie, Département ATE, Université de Bejaia, Algeria
Abstract: Overshooting is undoubtedly the most ambitious challenge in planning cellular networks. This problem means the scope of antenna coverage exceeds that one intended, causing interference in adjacent cells. However, solving this problem remains a complex task for mobile operators. In this work, we propose a mathematical model underlying the overshooting problem in LTE network as well as a self-optimisation process using genetic algorithm based on Laplace crossover. The proposed algorithm aims to determine the appropriate antenna parameters in order to reduce a long-distance signal, which forms a discontinuous coverage area in other network sites. Numerical results of the performances of the proposed algorithm indicate that the effects of overshooting problem are reduced.
Keywords: overshooting; optimisation; long-term evolution; coverage; cellular network; genetic algorithm.
International Journal of Ultra Wideband Communications and Systems, 2020 Vol.4 No.2, pp.49 - 56
Received: 26 Mar 2019
Accepted: 02 Apr 2020
Published online: 23 Oct 2020 *