Automated cell planning based on propagation loss
Xiaoying Wang, Tan Long, Yee Hui Lee · 2004
Much work has been done on the use of heuristic techniques for the optimisation and planning mobile networks [J. Perez and M.F. Catedra]-[Xuemin Huang, 2001]. Monte Carlo, genetic algorithm (GA) [D.E. Goldberg, 1989] and simulated annealing (SA) has all been used for the purpose of cell planning. These methods have been used with moderate success. In this paper, an evolutionary learning technique is used for the optimisation and planning of cell. This technique is able to perform a heuristic search with intelligence; knowledge gained from information gathered from previously searched problem space.