Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
Simulation run lengths to estimate blocking probabilities
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Modeling and analysis of stochastic systems
Modeling and analysis of stochastic systems
Petri nets with k simultaneously enabled generally distributed timed transitions
Performance Evaluation
Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
Performance Analysis of Communication Systems with Non-Markovian Stochastic Petri Nets
Capacity of multi-service cellular networks with transmission-rate control: a queueing analysis
Proceedings of the 8th annual international conference on Mobile computing and networking
Analysis of an Infinite-Server Queue with Batch Markovian Arrival Streams
Queueing Systems: Theory and Applications
A Diffusion Approximation for the G/GI/n/m Queue
Operations Research
Call admission control for CDMA mobile communications systems supporting multimedia services
IEEE Transactions on Wireless Communications
Performance modeling of wireless networks with generally distributed handoff interarrival times
Computer Communications
Capacity design and performance of call admission control in cellular CDMA systems
IEEE Journal on Selected Areas in Communications
Performance implications of fluctuating server capacity
Computer Communications
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The capacity of multi-service Code-Division Multiple Access (CDMA) systems has been extensively studied in the literature. However, few studies address the fundamental issue of how the stochastic properties of non-Poisson data traffic affect the system capacity. This paper studies a CDMA system supporting voice and data traffic. Results show that increased variability in the data call arrival process decreases the system capacity, while increased variability in data call holding times increases the system capacity. The extent of these effects depends on other system parameters, such as transmission rates and communication quality requirements. These observations motivate a simple buffer-based resource management scheme that enhances the system capacity in the presence of high-variability data traffic, providing controllable performance tradeoffs between voice and data calls. This study uses both simulation and theoretical analysis, which is based on a Markov Regenerative Process (MRGP) model.