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A comparison of different optimisation search methodologies for self-optimisation in wireless cellular networks
Sánchez González, Juan; Sallent Roig, José Oriol; Pérez Romero, Jordi; Agustí Comes, Ramon
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
Self-Organising Networks (SON) concept is seen as a way to reduce costs by automating functionalities such as network optimisation usually performed manually with extensive human work time. This paper provides a general formulation of the self-optimisation problem in a cellular wireless network and a description of the optimisation search process by means of iterative algorithms. Different optimisation methodologies, namely simulated annealing, genetic and particle swarm algorithms have been considered. These methodologies have been implemented for the optimisation of the cell coverage and cell overlap using real measurements of a UMTS network deployed in a medium-size European city. These methodologies have been compared in terms of speed of convergence and performance of the solutions provided by the different proposed algorithms.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
Mobile communication systems
Remote sensing
Wireless networks
Algorithms
Simulated annealing
Comunicacions mòbils, Sistemes de
Teledetecció
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Institute of Electrical and Electronics Engineers (IEEE)
         

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