A study on programming model and heuristic optimization algorithms for WCDMA radio networks

Zhang, Jie; Yang, Jun; Aydin, Mehmet E.

Abstract

The 3 Generation (3G) cellular networks, such as WCDMA (wideband code-division multiple access) networks, require accurate network planning and optimization. However, the planning and optimization of WCDMA radio network, which is a highly dynamic and inter-dependent system, are often carried out based on the static snapshot simulation due to simplicity and time limitation. Therefore, importing the link-level performance with consideration to some essential factors, such as power control and soft handover, has been a trend. Due to the complexity and inter-dependency, these characteristics have not been considered together in the previous works. In this paper, we give a brief introduction to our programming models with consideration to these characteristics, and present optimisation strategies base on three major meta-heuristics, namely genetic algorithms (GA), simulated annealing (SA) and variable neighborhood search (VNS), are presented. Extensive experiment results are provided and the performances of different algorithms are compared. © 2006 IEEE. rd

• Presentation Conference Type: Conference Paper (published)
• Conference Name: First International Conference on Communications and Networking in China, ChinaCom '06
• Start Date: Oct 25, 2006
• End Date: Oct 27, 2006
• Online Publication Date: Apr 10, 2007
• Publication Date: Apr 10, 2007
• Deposit Date: Oct 1, 2021
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Book Title: 2006 First International Conference on Communications and Networking in China
• ISBN: 1424404622
• DOI: https://doi.org/10.1109/CHINACOM.2006.344922
• Public URL: https://uwe-repository.worktribe.com/output/7334927