A rule-based solution search methodology for self-optimization in cellular networks
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hdl:2117/26062
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.
ISSN1089-7798
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