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

Sánchez González, Juan; Pérez Romero, Jordi; Sallent Roig, José Oriol

doi:10.1109/LCOMM.2014.2363670

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Sánchez González, Juan

Pérez Romero, Jordi

Sallent Roig, José Oriol

Document typeArticle

Defense date2014-12-12

Rights accessRestricted access - publisher's policy

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.

CitationSanchez, J.; Perez, J.; Sallent, J. A rule-based solution search methodology for self-optimization in cellular networks. "IEEE communications letters", 12 Desembre 2014, vol. 18, núm. 12, p. 2189-2192.

URIhttp://hdl.handle.net/2117/26062

DOI10.1109/LCOMM.2014.2363670

ISSN1089-7798

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

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