Combined coverage and capacity optimisation for UMTS networks

This work presents a combined coverage and capacity optimisation methodology for automatic cell planning of UMTS networks. In certain cases, coverage and capacity are antagonistic criteria that cannot be aggregated in a single cost function. An automatic cell planner (ACP) based on a multiobjective...

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Bibliographic Details
Main Authors: Jamaa, S.B., Altman, Z., Picard, J.M., Fourestie, B.
Format: Conference Proceeding
Language:English
Subjects:
3G mobile communication
Capacity planning
Cost function
Engines
Genetic algorithms
Process design
Quality of service
Research and development
Space exploration
Telecommunications
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Summary:This work presents a combined coverage and capacity optimisation methodology for automatic cell planning of UMTS networks. In certain cases, coverage and capacity are antagonistic criteria that cannot be aggregated in a single cost function. An automatic cell planner (ACP) based on a multiobjective genetic algorithm (GA) that simultaneously and separately optimises the different objectives is described. This ACP is of particular interest in cases where coverage objectives are difficult to achieve using a manual design process, for hilly environment or for rollout scenarios with some unavailable sites. A detailed example of combined coverage and capacity optimisation illustrates the efficiency of the ACP.
DOI:10.1109/NETWKS.2004.240881