Access Networks. 5th International ICST Conference on Access Networks, AccessNets 2010 and First ICST International Workshop on Autonomic Networking and Self-Management in Access Networks, SELFMAGICNETS 2010, Budapest, Hungary, November 3-5, 2010, Revised Selected Papers

Research Article

Automatic Base Station Deployment Algorithm in Next Generation Cellular Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-20931-4_2,
        author={Istv\^{a}n T\o{}rős and P\^{e}ter Fazekas},
        title={Automatic Base Station Deployment Algorithm in Next Generation Cellular Networks},
        proceedings={Access Networks. 5th International ICST Conference on Access Networks, AccessNets 2010 and First ICST International Workshop on Autonomic Networking and Self-Management in Access Networks, SELFMAGICNETS 2010, Budapest, Hungary, November 3-5, 2010, Revised Selected Papers},
        proceedings_a={ACCESSNETS},
        year={2012},
        month={10},
        keywords={cellular network planning coverage capacity},
        doi={10.1007/978-3-642-20931-4_2}
    }
    
  • István Törős
    Péter Fazekas
    Year: 2012
    Automatic Base Station Deployment Algorithm in Next Generation Cellular Networks
    ACCESSNETS
    Springer
    DOI: 10.1007/978-3-642-20931-4_2
István Törős1,*, Péter Fazekas1,*
  • 1: Budapest University of Technology and Economics
*Contact email: toros@hit.bme.hu, fazekasp@hit.bme.hu

Abstract

The optimal base station placement and effective radio resource management are of paramount importance tasks in cellular wireless networks. This paper deals with automatic planning of base station sites on a studied scenario, maintaining coverage requirement and enabling the transmission of traffic demands distributed over the area. A city scenario with different demands is examined and the advantages/disadvantages of this method are discussed. The planner and optimizing tasks are based on an iterative K-Means clustering method. The planning method involves base station positioning and selecting antenna main lobe direction. Results of the output network deployment of this algorithm are shown, with various traffic loads over the studied area.