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A novel programming model and optimisation algorithms for WCDMA networks

Yang, Jun; Zhang, Jie; Aydin, Mehmet E.; Wu, Joyce Y.

Authors

Jun Yang

Jie Zhang

Profile image of Mehmet Aydin

Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing

Joyce Y. Wu



Abstract

To obtain a good trade-off between accuracy and the computational load of WCDMA (wideband code-division multiple access) network planning and optimisation, link-level performance factors such as the impact of soft handover and fast power control need to be taken into account in system-level simulations. However, they have not been investigated together in previous works. In this paper, we propose a mixed integer programming model considering these factors in both uplink and downlink, and present optimisation strategies based on three meta-heuristics, namely simulated annealing (SA), evolutionary SA (ESA) and variable neighbourhood search (VNS). The base station location problem is modelled as a simplified p-median problem. Experimental results are provided to compare the performance of different algorithms with respect to the solution quality and the level of robustness. © 2007 IEEE.

Presentation Conference Type Conference Paper (published)
Start Date Apr 22, 2007
End Date Apr 25, 2007
Online Publication Date May 29, 2007
Publication Date May 29, 2007
Deposit Date Oct 1, 2021
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Pages 1182-1187
Book Title 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
ISBN 1424402662
DOI https://doi.org/10.1109/VETECS.2007.250
Public URL https://uwe-repository.worktribe.com/output/7334931