Article: ABC-PLOSS: a software tool for path-loss minimisation in GSM telecom networks using artificial bee colony algorithm Journal: International Journal of Swarm Intelligence (IJSI) 2019 Vol.4 No.1 pp.20 - 37 Abstract: In this paper, we present an open-source software tool 'ABC-PLOSS', which is developed for use in optimisation processes. Path-loss optimisation deals with searching for the best set of operator-specific parameters in telecommunication that gives the least cost of operation. It is a primary issue that challenges mobile communication operators, particularly the global system mobile (GSM) operators in tuning mobile-base station networks for efficient and reliable operation. The tool uses a sequential processor architecture based on a swarm intelligence algorithm called artificial bee colony (ABC) and the cost-231 Hata path-loss model as cost function for path-loss minimisation (PLM). Using the ABC-PLOSS framework, the ABC algorithm is compared with two other existing and popular artificial intelligent (AI) algorithms called the genetic algorithm (GA) and particle swarm optimisation (PSO). Results of simulation studies show that this tool is indeed useful as it gives a competitive or lower path-loss estimate when compared with conventional techniques. It also shows that it is possible for the ABC to attain an estimated seven-fold and two-fold path-loss improvement over the GA and the PSO techniques respectively. Inderscience Publishers - linking academia, business and industry through research

Title: ABC-PLOSS: a software tool for path-loss minimisation in GSM telecom networks using artificial bee colony algorithm

Authors: Vincent Ike E. Anireh; Emmanuel Ndidi Osegi

Addresses: Department of Computer Science, Rivers State University (RSU), P.M.B. 5080, Port-Harcourt, Nigeria ' Department of Information Technology, National Open University of Nigeria (NOUN), Lagos State, Nigeria

Abstract: In this paper, we present an open-source software tool 'ABC-PLOSS', which is developed for use in optimisation processes. Path-loss optimisation deals with searching for the best set of operator-specific parameters in telecommunication that gives the least cost of operation. It is a primary issue that challenges mobile communication operators, particularly the global system mobile (GSM) operators in tuning mobile-base station networks for efficient and reliable operation. The tool uses a sequential processor architecture based on a swarm intelligence algorithm called artificial bee colony (ABC) and the cost-231 Hata path-loss model as cost function for path-loss minimisation (PLM). Using the ABC-PLOSS framework, the ABC algorithm is compared with two other existing and popular artificial intelligent (AI) algorithms called the genetic algorithm (GA) and particle swarm optimisation (PSO). Results of simulation studies show that this tool is indeed useful as it gives a competitive or lower path-loss estimate when compared with conventional techniques. It also shows that it is possible for the ABC to attain an estimated seven-fold and two-fold path-loss improvement over the GA and the PSO techniques respectively.

Keywords: artificial bee colony; ABC; improvement factor; minimisation; path-loss; telecommunication networks; global system mobile; GSM.

DOI: 10.1504/IJSI.2019.097407

International Journal of Swarm Intelligence, 2019 Vol.4 No.1, pp.20 - 37

Received: 15 May 2017
Accepted: 08 Jun 2018
Published online: 21 Jan 2019 *

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Title: ABC-PLOSS: a software tool for path-loss minimisation in GSM telecom networks using artificial bee colony algorithm

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