A Comparative Investigation on Heuristic Optimization of WCDMA Radio Networks
نویسندگان
چکیده
The planning and optimization of WCDMA (wideband code-division multiple access)radio network issues remain vital, and are carried out using static snapshot-based simulation. To improve the accuracy of the static simulation, link-level performance factors, such as the impact of power control, pilot power and soft handover, have to be taken into account. These factors have not been investigated together in the previous works. In this paper, we give a brief introduction to our programming models that take these characteristics into account, and present optimisation strategies based on three major Metaheuristics; genetic algorithms (GA), simulated annealing (SA) and tabu search (TS).. Extensive experiment results are provided and the performance of different heuristic algorithms is compared.
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