Bio-inspired optimization of blocked calls in cellular mobile systems

Author

Leal, I.A.C. ; Silva, D.R.C. ; Chaves, D.A.R. ; Bastos-Filho, C.J.A.

Author_Institution

Univ. of Pernambuco, Recife, Brazil

fYear

2015

fDate

14-17 June 2015

Firstpage

1

Lastpage

6

Abstract

In this paper we present a methodology to minimize the blocked calls in Cellular Mobile Systems (CMS). The methodology uses a surrogate model to simulate the behavior of the system. Then it deploys a meta-heuristic to optimize the irradiated power of the antennas aiming at better divide the cells, thus minimizing the call blocking of the CMS. We deployed two well-known meta-heuristics, called Genetic Algorithms (GA) and Particle Swarm Optimization (PSO), for the minimization of the blocked calls and compared the performance of both approaches. We achieved a reduction of more than 58% in the blocked calls considering a real world inspired case study. From preliminary results we observed that our proposal can achieve good results for real CMS.

Keywords

antenna radiation patterns; cellular radio; genetic algorithms; mobile radio; particle swarm optimisation; antenna irradiated power; bio-inspired optimization; blocked calls; cellular mobile systems; genetic algorithms; irradiated power optimization; particle swarm optimization; surrogate model; well-known meta-heuristics; Antennas; Attenuation; Genetic algorithms; Mathematical model; Optimization; Sociology; Statistics; bio-inspired algorithms; evolutionary computation; mobile systems; optimization; swarm intelligence; wireless communications;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications (IWT), 2015 International Workshop on

Conference_Location

Santa Rita do Sapucai

Type

conf

DOI

10.1109/IWT.2015.7224569

Filename

7224569