A Rule-Based Solution Search Methodology for Self-Optimization in Cellular Networks

作者：Sanchez Gonzalez J^*; Perez Romero J; Sallent O

来源：IEEE Communications Letters, 2014, 18(12): 2189-2192.

DOI：10.1109/LCOMM.2014.2363670

• Self-optimization
• self-organizing networks (SON)
• cellular networks
• cell coverage
• cell overlap

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.

• 出版日期2014-12