A joint-parametric realistic traffic model for wireless internet using Hidden Markov Model

With the increasing usage of mobile devices to ubiquitously access heterogeneous applications in wireless Internet, the measurement, analysis and modeling of Internet traffic has become a key research area. Solving performance related issues of networks and ensuring better Quality of Service (QoS) for end-users calls for simple, tractable and realistic traffic models. The model should not only be able to predict the traffic in the network but also should evolve with the current and future networks. In this paper, we propose a Hidden Markov Model (HMM) based wireless Internet traffic model considering the source traffic at packet level. Mathematical details of the model are included for the CBR and the VBR traffic types, jointly analyzing Packet Delay (PD), IP Packet Delay Variation (IPDV) and Packet Size (PS). Modeling results are presented for the non-cooperative measurements carried over UDP in GPRS, UMTS and Wi-Fi networks using Vodafone-India and BSNL-India networks. The specific contributions in this work are: (a) a traffic measurement tool for mobile devices is designed and its architecture is presented, (b) measurements are carried out for GPRS, UMTS and Wi-Fi networks to collect the traces and (c) an analytical model for wireless Internet traffic is proposed and validated by real-time traffic.