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In this paper a static network simulator is used to find downlink and uplink SHO areas. By introducing a penalty-based objective function and some hard constraints, we formally define the problem of balancing SHO areas in UMTS networks. The state-of-the-art mathematical model used and the penalty scores of the objective function are set according to the configuration and layout of a real mobile network, deployed in Slovenia by Telekom Slovenije, d.d.. The balancing problem is then tackled by three optimization algorithms, each of them belonging to a different category of metaheuristics. We report and analyze the optimization results, as well as the performance of each of the optimization algorithms used.
Evolutionary Computation (CEC), 2012 IEEE Congress on
Date of Conference: 10-15 June 2012