Paper Info
Title
Teletraffic Analysis Formulation Based on Channel Holding Time Statistics
Abstract
In this paper, a teletraffic analysis method based on channel holding time statistics for new and handoff calls for system level performance evaluation of mobile cellular networks with link unreliability is developed. Firstly, mathematical expressions for the probability distribution function of channel holding time for new and handoff calls are derived considering different phase-type distributions for both cell dwell time and unencumbered call interruption time due to link unreliability. Then, moments of channel holding time for new and handoff calls are derived using its moment generating function. After that, distribution of channel holding time is approximated by different phase-type distribution functions using the moment matching method. Finally, a novel teletraffic analysis formulation based on this channel holding time approximation is developed. This teletraffic model allows us to reduce computational complexity compared to the exact teletraffic model, which is based on cell dwell time and unencumbered call interruption time statistics. Important system-level performance metrics are derived using this model. Our numerical results are in good agreement with both simulation results and analytical results obtained using the exact teletraffic model.
Year
DOI
Venue
2009
10.1109/WiMob.2009.62
WiMob
Keywords
Field
DocType
handoff call,teletraffic analysis formulation,different phase-type distribution,teletraffic analysis method,cell dwell time,teletraffic model,channel holding time statistics,exact teletraffic model,unencumbered call interruption time,novel teletraffic analysis formulation,time statistic,time approximation,statistical analysis,mobile cellular network,simulation,gold,phase type distribution,resource management,computational complexity,probability distribution function,data mining,probability,resource manager,dwell time,wireless communications,cellular network,wireless communication,mobile computing,moment generating function
Dwell time,Computer science,Cellular traffic,Computer network,Communication channel,Phase-type distribution,Cellular network,Statistics,Probability density function,Moment-generating function,Handover
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Andres Rico-Paez100.34
Felipe A. Cruz-Perez2141.99
Genaro Hernández-Valdez36816.22