IEEE/ACM Transactions on Networking (TON)
Connection-wise end-to-end performance analysis of queuing networks with MMPP inputs
Performance Evaluation
An intergrated traffic model for multimedia wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - 01/14/2002
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Decomposition of general queueing networks with MMPP inputs and customer losses
Performance Evaluation
A calculus for network delay. II. Network analysis
IEEE Transactions on Information Theory
Traffic models in broadband networks
IEEE Communications Magazine
Traffic modeling for telecommunications networks
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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We propose the integrated model of a single packetized variable bit rate (VBR) teletraffic source for cellular next generation (NG) All-IP networks. The proposed model integrates two parts: the mobility model and the teletraffic model. The mobility model captures mobility behavior of a single user and modeled by a Markov chain with finite state space. The teletraffic model captures teletraffic characteristics of call and packet levels and is represented by the superposition of a Markov chain and a discrete-time batch Markovian arrival process (D-BMAP). Mobility and teletraffic models are integrated, such that the whole model is a triply stochastic process for which the D-BMAP framework remains valid. Numerical examples of the proposed model indicates that even in presence of probabilistic dependence between user mobility and its teletraffic demands it is still feasible to estimate the actual value of call and packet level teletraffic demands offered by a single user to cellular NG All-IP networks. Performance evaluation studies show that the proposed model can be used to predict call and packet level performance degradation experienced by applications in cellular NG All-IP networks under different mobility behavior of nomadic users.