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

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.