Cell Planning in WCDMA Networks for Service Specific Coverage and Load Balancing

Lee, Chang Kyu; Shin, Hyun M.

doi:10.1007/s11277-011-0407-3

Cited by 3 publications

(2 citation statements)

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“…Facility location problem is a special case of cell planning which is NP-hard [2]. Also, this kind of problems cannot easily find good solutions by applying simple algorithms, and numerous attempts on base station deployment has been made to obtain near optimal solution in 3G cell planning problem.…”

Section: Introductionmentioning

confidence: 99%

“…Also, this kind of problems cannot easily find good solutions by applying simple algorithms, and numerous attempts on base station deployment has been made to obtain near optimal solution in 3G cell planning problem. A tabu search approach for cell planning in different service classes in WCDMA network is proposed in [2], which shows the load factor with higher upper bounds can reduce cell sites for multiple service classes. A cell planning schema for WCDMA systems using measured background noise floor of four different Taiwan telecommunication licenses and genetic algorithm (GA) is presented in [3], and the example of base station deployment in existed Taipei urban city is showed as result.…”

Section: Introductionmentioning

confidence: 99%

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Base Station Deployment with Capacity and Coverage in WCDMA Systems Using Genetic Algorithm at Different Height

Wang

Chen

2012

2012 Sixth International Conference on Genetic and Evolutionary Computing

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Base station Cell planning is an important and complex problem of wireless telecommunication system which its result will affect the performance and cost. In WCDMA system, the performance can be decided with coverage and throughput fulfillment of the cell. This paper investigates how to do base station deployment in a micro-cell of WCDMA system. In cell planning, how to deploy the base station for better performance is a NP-hard optimizing problem, so it needs an optimization algorithm to find the solution. Genetic algorithm is an algorithm that simulates the evaluation process of gene which the process is combined of crossover and mutation processes and is used to solve many optimization problems. In this paper, the optimum solution which the required coverage can be met with least number of base station, location and antenna heights for base station deployment by using genetic algorithm is proposed. For future works, the loading and interference of base station can be put together as criteria to evaluate the performance of the cell and obtained a system that can fulfill the coverage and throughput requirement with minimum base stations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%