Analysis of traffic model and self-similarity for QQ in 3G mobile networks

Data service traffic model is playing more and more important role in many fields of 3G (Third Generation) mobile networks such as traffic forecasting, resource allocation, network optimization and so on. QQ as one of the most popular Internet service in China also developed very rapidly in mobile networks. By analyzing the communication mechanism and format of QQ packet, a novel QQ message model is put forward and the characteristics of the parameters and distributions are given based on the real QQ data collected on the UMTS networks. Extensive researches of the network traffic show the packet data traffic has the characteristics of self-similarity and long range dependence. The self-similarity of QQ traffic is investigated and the Hurst parameters are estimated with different methods.