GSM Network Traffic Load Analysis And Predict

GSM is a developed mobile telcom network. With the developing of subscribers and services,the scope of GSM is becoming larger and larger and the structure is complex more and more.The increasing trend and rate of terminal subscribers and service shoud be mastered in order to be sure the stability and efficiency of the network.GSM traffic and load predict analysis are important tasks in network optimization. The performance can be known and the troubles can be found in the network through traffic analysis.It provides evidence for tuning network and troubleshooting. Traffic predict is to perdict the traffic in the future according to the history data. It can guide the network planning,expansion and load balance.The article discusses how to analyse GSM traffic and KPIs;How to predict the services traffic and network element load during holiday by mathematics modeling; And provide the network tuning suggestion according to the predict output. The realization is:a database is created for collecting and storing network TOP, configuration,call traffic, SMS traffic,Key Perofrmance Indicators,and so on. These data will be store for a long time,3-4 years. Then with the long time data, we can predict the increasement for the terminal subscribers'number and service traffic by using the time serial mathematic modeling; predict the traffic of LAC,Cell, network elements by using the grid method. Building the relationship between load and traffic of the same network element by coefficient Linear Regression. At last, the network tuning and expansion scheme would be provided in order to make sure the high effectivity and stability.