CDMA Network Monitoring And Analysis Of User Behaviour

As the foundation of3G mobile communication system, CDMA has many characteristics such as the easy network frequency planning, good communication quality, big network system capacity, soft switching. CDMA2000is a family of3G mobile technology standards, which use CDMA channel access, to send voice, data, and signaling data between mobile phones and cell sites. As the performance of the current CDMA network growing, CDMA network has played an important role in people’s daily entertainment and work. Research on network traffic information and mobile users’ behavior characteristics have gradually become a hot topic.In this thesis, we introduce CDMA network reference model and CDMA2000core network structure and interface. We describe the rapid development of the CDMA network and some common methods of user behavior analysis. We focus on network traffic monitoring and data processing. The thesis shows network user behavior data acquisition method and equipment deployment, then discusses network data processing methods in user analysis. This analysis presents data from a large set of users over a significant time period. The results support basic expectations about time-of-day of CDMA network usage. We present some observations of a CDMA mobile network of some city by analyzing the characteristics of the data, such as login time, logout time, delay of transmission, and user attributes. The author provided a basis analysis of regular user behaviors using user attribute pattern clustering. From this observation, the time-of-day behavior gives better indication of mobile user behaviors in CDMA network. We classify sessions with specific user attributes, such as APNs, Service Options, and terminal types to further study the behavior patterns of CDMA mobile users.We have analyzed session length, inbound and outbound traffic, user number and their relationship in different time period in CDMA network from different dimensions such as service option and APN. We give some suggestions that may be useful to other mobile network users. Mobile Internet users data analysis aims to understand mobile user demand and the behavior rule, formulate relevant solutions to improve each other to user experience.In our future work, we may carry on in-depth study of a single attribute of the user such as the time period preference in order to fully tap the mobile Internet user Internet behavior characteristics.