Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems

Research Article

Cross-Layer Clustering Optimization in Mobile Networks Using Evolutionary Algorithms

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  • @INPROCEEDINGS{10.1007/978-3-642-16644-0_55,
        author={L. Carro-Calvo and S. Maldonado-Bascon and A. Portilla-Figueras and S. Lafuente-Arroyo and S. Salcedo-Sanz},
        title={Cross-Layer Clustering Optimization in Mobile Networks Using Evolutionary Algorithms},
        proceedings={Advanced PhYsical Layer Optimization Methods for energy-efficient wireless systems},
        proceedings_a={PHYLOM},
        year={2012},
        month={10},
        keywords={Aggregation network multi-layer optimization evolutionary algorithms},
        doi={10.1007/978-3-642-16644-0_55}
    }
    
  • L. Carro-Calvo
    S. Maldonado-Bascon
    A. Portilla-Figueras
    S. Lafuente-Arroyo
    S. Salcedo-Sanz
    Year: 2012
    Cross-Layer Clustering Optimization in Mobile Networks Using Evolutionary Algorithms
    PHYLOM
    Springer
    DOI: 10.1007/978-3-642-16644-0_55
L. Carro-Calvo1, S. Maldonado-Bascon1, A. Portilla-Figueras1, S. Lafuente-Arroyo1, S. Salcedo-Sanz1,*
  • 1: Universidad de Alcalá
*Contact email: sancho.salcedo@uah.es

Abstract

In this paper we present an evolutionary algorithm to tackle the aggregation network design in a mobile communication system. The design and optimization of this part of the network involves four different tasks: the determination of the number and location of the Base Station Controller (BSC) or Radio Network Controllers (RNC), the assignment of Base Stations (BTS) or B-Nodes to the controllers, the definition of the tree structure that links all the nodes with the controllers and, finally, the system assignment in the links between the different hops of the tree. The novel evolutionary heuristic proposed deals with all these sub-problem together and it is able to obtain good solutions, as will be shown in several real scenarios.