Application of Taboo Search and Genetic Algorithm in planning and optimization of UMTS radio networks

Authors:
Bahareh Jalili;Mehrdad Dianati
Affiliations:
University of Surrey, Surrey, United Kingdom;University of Surrey, Surrey, United Kingdom
Venue:
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Year:
2010

Citing 4
Cited 0

Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice

Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice
A Tabu Search Heuristic for the Global Planning of UMTS Networks

WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Radio planning and coverage optimization of 3G cellular networks

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Planning UMTS base station location: optimization models with power control and algorithms

IEEE Transactions on Wireless Communications

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Abstract

Planning and optimization of 3G networks is more than just frequency allocation and coverage planning, due to the nature of WCDMA coding. It usually involves solution of an NP-Hard problem. In this paper we propose an effective method for optimizing the Common Pilot Channel (CPICH) transmit power, along with maximizing the number of served users and minimizing the number of cell sites and compare use of two meta-heuristic methods: Taboo Search (TS) and Genetic Algorithm (GA) in planning and optimization of UMTS radio networks.