Genetic algorithms to optimize base station sitting in WCDMA networks

Abstract

In UMTS network, radio planning cannot only be based on signal predictions, but it must also consider the traffic distribution, the power control mechanism as well as the power limits and the signal quality constraints. The present work aims to optimize the number of base stations used in the WCDMA radio network. In this paper, we propose a mathematical programming model for optimizing the base station locations considered for the uplink (mobile to BS) direction, and which considers the typical power control mechanism of WCDMA. The two contrasting objectives of the optimization process are the traffic coverage maximization and the installation costs minimization. A mimetic algorithm (AM) (genetic algorithm+ a local search) is proposed to find good approximate solutions of this NP hard problem. The Numerical results are obtained for reels instances, and generated by using classical propagation models.

Authors and Affiliations

Najat Erradi , Noura Aknin , Fadoua Thami Alami , Ahmed El Moussaoui

Keywords

Related Articles

Hierarchical Compressed Sensing for Cluster Based Wireless Sensor Networks

Data transmission consumes significant amount of energy in large scale wireless sensor networks (WSNs). In such an environment, reducing the in-network communication and distributing the load evenly over the network can...

A Grammatical Inference Sequential Mining Algorithm for Protein Fold Recognition

Protein fold recognition plays an important role in computational protein analysis since it can determine protein function whose structure is unknown. In this paper, a Classified Sequential Pattern mining technique for P...

A Heterogeneous Framework to Detect Intruder Attacks in Wireless Sensor Networks

Wireless sensor network (WSN) has been broadly implemented in real world applications, such as monitoring of forest fire, military targets detection, medical and/or science areas and above all in our daily home life as w...

Mobile Software Testing: Thoughts, Strategies, Challenges, and Experimental Study

Mobile devices have become more pervasive in our daily lives, and are gradually replacing regular computers to perform traditional processes like Internet browsing, editing photos, playing videos and sound track, and rea...

Implementing Project Management Category Process Areas of CMMI Version 1.3 Using Scrum Practices, and Assets

Software development organizations that rely on Capability Maturity Model Integration (CMMI) to assess and improve their processes have realized that agile approaches can provide improvements as well. CMMI and agile meth...

Download PDF file
  • EP ID EP87395
  • DOI 10.14569/IJACSA.2013.040333
  • Views 108
  • Downloads 0

How To Cite

Najat Erradi, Noura Aknin, Fadoua Thami Alami, Ahmed El Moussaoui (2013). Genetic algorithms to optimize base station sitting in WCDMA networks. International Journal of Advanced Computer Science & Applications, 4(3), 218-220. https://europub.co.uk/articles/-A-87395