A Micro Regional Market Share Real-Time Prediction Based on Extended Kalman

Cui Feng Du; Wen Ming Shen; Shi Bao Jiang

doi:10.4028/www.scientific.net/AMR.846-847.475

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847A Micro Regional Market Share Real-Time Prediction...

A Micro Regional Market Share Real-Time Prediction Based on Extended Kalman

Abstract:

The real-time prediction of micro regional market share provides decision for the analysis of micro regional marketing scheme and micro regional channel planning. More and more increasing complexion mobile network environment require real-time micro area of market share and only mastering micro regional market share can have a more comprehensive understanding of market. To solve this problem, consideration of advantages of real-time aspects of the extended Kalman filtering algorithm in predicting, we propose a real-time prediction algorithm based on the extended Kalman filter Market Share. The algorithm can be real-time prediction of mobile network market share of base station. The simulation results show that the proposed algorithm in this paper is a real-time and good prediction quality.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

475-478

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.475

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Online since:

November 2013

Authors:

Cui Feng Du*, Wen Ming Shen, Shi Bao Jiang

Keywords:

Kalman Filter (KF), Mobile Communication, Prediction of Micro Regional Market Share, Real-Time

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* - Corresponding Author

References

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