Improved Particle Swarm Optimization Algorithm Applied to the Base Station Placement Planning of WCDMA Network

博士 === 國立中央大學 === 通訊工程研究所碩士在職專班 === 100 === In a new generation of WCDMA base stations is smaller, powerful in performance. So, In spite of many construction of base stations, the locations of the base station may not be adequate. That’s why the signal coverage is low. Excessive number of base stat...

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Bibliographic Details
Main Authors: Wei-ting Shen, 沈威廷
Other Authors: Chia-lu Ho
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/77190433205038620554
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Summary:博士 === 國立中央大學 === 通訊工程研究所碩士在職專班 === 100 === In a new generation of WCDMA base stations is smaller, powerful in performance. So, In spite of many construction of base stations, the locations of the base station may not be adequate. That’s why the signal coverage is low. Excessive number of base stations means much money is to be wasted. This thesis is about optimization for WCDMA base station location. How to choose a suitable tool for optimization to be used ? Generally in the construction of WCDMA base stations, it may not be easy to know where the best base station location is. But in our research we found that particle swarm algorithm (PSO) is an excellent algorithm. This thesis proposes a new external diffusion and internal collision method. Our results showed indeed that it improved the signal overlapping problem of local optimization. Finally, the construction of base stations should be evaluated by considering the base station location. And by the designated base station location should verify the coverage obtained by using the particle swarm algorithm (PSO) algorithm. Keywords: WCDMA, particle swarm algorithm (PSO), weigh, base station location, coverage, external diffusion, internal collision, designated the base station location.