A rule-based solution search methodology for self-optimization in cellular networks

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Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Abstract
This letter presents a rule-based solution search (RBSS) algorithm for self-optimization in a cellular network. It improves the solution search process of classical optimization methodologies by including a set of rules that capture the knowledge of how a given problem can be solved. The results obtained in a scenario using measurements from a real network reveal that including the RBSS algorithm achieves reductions of up to 60% and 90% in the convergence time of Particle Swarm and Genetic Algorithms, respectively. ; Peer Reviewed ; Postprint (published version)