2nd International ICST Conference on Access Networks

Research Article

Solving the generalized base station placement problem in the planning of Broadband Power Line Communications access networks

  • @INPROCEEDINGS{10.1109/ACCESSNETS.2007.4447106,
        author={Abdelfatteh Haidine and Ralf Lehnert},
        title={Solving the generalized base station placement problem in the planning of Broadband Power Line Communications access networks},
        proceedings={2nd International ICST Conference on Access Networks},
        publisher={IEEE},
        proceedings_a={ACCESSNETS},
        year={2008},
        month={2},
        keywords={Broadband Power-Line Communications  access network planning  generalized base station placement  multi-objective optimization},
        doi={10.1109/ACCESSNETS.2007.4447106}
    }
    
  • Abdelfatteh Haidine
    Ralf Lehnert
    Year: 2008
    Solving the generalized base station placement problem in the planning of Broadband Power Line Communications access networks
    ACCESSNETS
    IEEE
    DOI: 10.1109/ACCESSNETS.2007.4447106
Abdelfatteh Haidine1,*, Ralf Lehnert1,*
  • 1: Chair for telecommunications, Dresden University of Technology Dresden, Germany
*Contact email: haidine@ifn.et.tu-dresden.de, haidine@ifn.et.tu-dresden.de

Abstract

Broadband Power Line Communications (B-PLC) technology is an alternative for broadband access networks, allowing bit rates up to currently 200Mbps. This technique uses the wiring of the low-voltage grid in order to offer to the users the telecommunications services, such as Internet. In this paper, the B-PLC planning process is sub-divided into two parts, which are the Generalized Base Station Placement (GBSP) and the PLC Channel Allocation Problem (P-CAP). This paper focuses on GBSP that is formulated as multi-objective combinatorial optimization and solved by the means of metaheuristics. Two optimization approaches are used to solve it: the classical approach based on single-objective optimization and the modern approach based on multi-objective optimization. Their performances are evaluated and compared with each other.