摘要
CDMA作为第三代移动通信系统的技术基础,具有网络频率规划容易、通信质量优质、网络系统容量很大、软切换等特点。CDMA2000是CDMA网络向第三代移动系统发展形成的通信标准之一。随着CDMA2000网络蓬勃发展,用户开始大范围的使用手机进行上网,并且这种趋势高速发展。研究网络流量信息以及移动用户通过手机访问互联网的行为特征就逐渐成为一个热点话题。
本文首先介绍CDMA网络参考模型以及CDMA2000核心网络架构和接口。随后,描述了CDMA网络下高速发展的多种数据业务。其次,阐述了网络用户行为分析的意义和分析过程中需要用到的方法。进一步介绍了在移动网络的特殊环境下的用户行为,并且对用户行为进行分析与研究。
通过对网络业务和网络行为分析方法的介绍,引出了本文主要工作：网络流量监测与数据处理。首先对网络流量监测进行研究,介绍了常用网络流量监测方法、流量监测的意义以及流量识别与解析方法。其次,研究了流量监测设备的部署和数据采集方案并且对CDMA协议解析系统给出详细介绍。
最后,以移动网络用户的Web业务产生的访问日志数据作分析对象,从不同的维度完成用户上网数据的多角度分析。通过数据分析系统并采用常见流量分析和数据处理方法,我们得到诸如用户获取服务时长分布,终端偏好等特性相关的用户行为结论。
移动互联网环境下的用户数据分析旨在通过了解移动用户需求和行为规则,制定相关方案来改善用户体验。本文研究结论对电信运营商和服务提供商提高用户的忠诚度以及有针对性的进行精确营销的作用不言而喻。最后总结全文,并对下一步工作进行了展望。
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.
引文
[1]第30次中国互联网络发展状况统计报告(CNNIC).
[2]窦伊男根据多维特征的网络用户分类研究[学位论文]北京邮电大学2010
[3]延皓基于流量监测的网络用户行为分析[学位论文]北京邮电大学2011
[4]刘芳网络流量监测与控制北京邮电大学出版社2009 pp.170-181
[5]冯玉琳等编著.网络分布式计算与软件工程(第二版)
[6]马力,焦李成,董富强一种Internet网络用户行为分析方法的研究微电子学与计算机第22卷第七期2005124-126
[7]3GPP2 A.S0017-D. Interoperability Specification (IOS) for cdma2000 Access Network Interfaces Part 7 (A10 and A11 Interfaces) Version 2.0.1 July 2003
[8]3GPP2 P.S0001-B. cdma2000 Wireless IP Network Standard Version 2.0 2004
[9]3GPP2 X.S0011-004-C. cdma2000 Wireless IP Network Standard:Quality of Service and Header Reduction Version 1.0.0 August 2003
[10]张传福卢辉斌彭灿编著.Cdma2000 1x/F.V-DO通信网络规划与设计
[11]杨峰义主编.CDMA2000 1x/EV-DO Rev.A系统接口与实现
[12]张智江,刘申建等著.CDMA2000 1xEv-DO网络技术
[13]摩托罗拉工程学院主编.CDMA2000-1x网络技术
[14]M. Halvey, M. Keane, and B. Smyth. Predicting navigation patterns on the mobile-internet using time of the week. In WWW2005, pages 958-959. ACM Press, May 2005.
[15]M. Halvey, M. Keane, and B. Smyth Time based patterns in mobile-internet surfing In CHI'06 Springer Verlag April 2006 31-34
[16]Daniel A.Menasce, Virgilio A.F. Almeida, Rodrigo Fonseca, Marco A. Mendes A Methodology for Workload Characterization of E-commerce Sites Proceedings of the 1st ACM conference on Electronic commerce table of contents Denver Colorado United States 1999 119-128
[17]H. Neto, J. Almeida, L. Rocha, W. Meira, P. Guerra,and V. Almeida. A Characterization of Broadband User Behavior and Their E-Business Activities. ACM SIGMETRICS Performance Evaluation Review,32(3):3-13,2004.
[18]Diane Tang and Mary Baker. Analysis of a local-area wireless network. In Proceedings of MOBICOM 2000. August 2000, pp.1-10, ACM Press.
[19]Marcelo Maia, Jussara Almeida and Virgilio Almeida.Identifying User Behavior in Online Social Networks. European Conference on workshop on Social network systems. Glasgow, Scotland. Pages:1-6 ISBN:978-1-60558-124-8 Apr.2008.