Traac Models in Broadband Telecommunication Networks

Traac models are at the heart of any performance evaluation of telecommunications networks. An accurate estimation of network performance is critical for the success of broadband networks. Such networks need to guarantee an acceptable quality of service (QoS) level to the users. Therefore, traac models need to be accurate and able to capture the statistical characteristics of the actual traac. In this paper we survey and examine traac models that are currently used in the literature. Traditional short range and non-traditional long range dependence traac models are presented. Number of parameters needed, parameter estimation and analytical tractability of traac models are discussed. Traac models are analyzed based on their ability to capture marginaldistribution, auto-correlation structure, and ultimately predict delay and cell loss probabilities of the actual data they model.