Design of in-building wireless networks deployments using evolutionary algorithms

Article type: Research Article

Authors: Molina-García, Mariano^{a; *} | Calle-Sánchez, Jaime^a | González-Merino, Carlos^a | Fernández-Durán, Alfonso^b | Alonso, José I.^a

Affiliations: [a] Department of Signal, Systems and Radiocommunications, E.T.S.I. Telecomunicación, Technical University of Madrid, Av. Ciudad Universitaria, Madrid, Spain | [b] Alcatel-Lucent Spain, María Tubau, Madrid, Spain

Correspondence: [*] Corresponding author: Mariano Molina-García, Department of Signal, Systems and Radiocommunications, E.T.S.I. Telecomunicación, Technical University of Madrid, Av. Ciudad Universitaria, 30, 28040 Madrid, Spain. E-mail: [email protected].

Abstract: In this article, a novel approach to deal with the design of in-building wireless networks deployments is proposed. This approach known as MOQZEA (Multiobjective Quality Zone Based Evolutionary Algorithm) is a hybrid evolutionary algorithm adapted to use a novel fitness function, based on the definition of quality zones for the different objective functions considered. This approach is conceived to solve wireless network design problems without previous information of the required number of transmitters, considering simultaneously a high number of objective functions and optimizing multiple configuration parameters of the transmitters.

Keywords: Evolutionary algorithms, metaheuristics, optimization, wireless networks

DOI: 10.3233/ICA-140474

Journal: Integrated Computer-Aided Engineering, vol. 21, no. 4, pp. 367-385, 2014