Analysis And Prediction Of TD-LTE Performance Index For Wireless Network

With the maturity and development of mobile communications technology in recent years, people in life becomes to rely on wireless communications is growing, but also on mobile communication technology put forward higher requirements, 3G technology has gradually can not adapt users of high-bandwidth, low latency and mobility needs. To meet these needs, instead of 3G technology, the LTE network technology which include OFDM and MIMO technology develop rapidly. With the large-scale commercial of the LTE network, LTE users explosive growth and traffic increase. Operators must estimate network resources to prevent network congestion. Wireless network performance Prediction is possible to understand the development trend of performance indicators to guide future network optimization, discover the existence of problems, and make Network optimization. While the continuous development of LTE network technology, but users of the network quality have become increasingly demanding. Through the establishment of LTE wireless network performance system that can understand the network coverage problems, interference problems, lack of resources, etc., in order to guide network planning and improve the quality of network optimization.In this paper, research on the TD-LTE wireless network performance analysis system. The data mining algorithms are applied to wireless network performance analysis applications on the whole network level and the cell level, which make applications more intelligent and automated. On the one hand,combined with the characteristics of the whole network of TD-LTE wireless network key performance indicators, using a variety of wireless network performance prediction algorithm have get high precision. On the other hand, with the wireless network performance comprehensive analysis of a cell,using clustering algorithm to identify problems and problem type cell division, and use logistic regression algorithm to get the factors Affecting cell network quality, in order to guide the network optimization improve network quality of cells.