Abstract
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 experimental results are provided and the performance of different heuristic algorithms is compared. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Aydin, M. E., Yang, J., & Zhang, J. (2007). A comparative investigation on heuristic optimization of WCDMA radio networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4448 LNCS, pp. 111–120). Springer Verlag. https://doi.org/10.1007/978-3-540-71805-5_12
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