Traffic Recognition in Cellular Networks

Abstract: Traffic recognition is a powerful tool that could provide valuable information about the network to the network operator. The association of additional information carried by control packets in the core cellular network would help identify the traffic that stem from each user and acquire statistics about the usage of the network resources and aid detecting problems that only one or a small group of users experience. The program used is called TAM and it operates only on Internet traffic. The enhancements of the program included the support for the Gn and Gi interfaces of the cellular network where the control traffic is transferred via the GTP andRADIUS protocols respectively. Furthermore, the program output is verified using two other tools that operate on the field with satisfactory results and weaknesses were detected on all tools studied. Finally, the results of TAM were demonstrated with conclusions being drawn about the statistics of the network. The thesis concludes with suggestions for improving the program in the future.