Title
Approximated Teletraffic Analysis For The Performance Evaluation Of Mobile Cellular Networks With Mmpp-2 New Call Arrivals
Abstract
In this paper, the performance of mobile multicellular networks with time-varying traffic is mathematically analyzed and numerically evaluated. To model time-varying traffic demand, new call requests in each cell are considered to follow an independent two-state Markov Modulated Poisson Process (MMPP). A novel approximated teletraffic analysis for the system-performance evaluation is proposed and developed. The proposed analysis is based on both a bi-dimensional and a tri-dimensional birth and death processes. In our developed queuing analysis, handoff call requests arriving to the reference cell are modeled through a seven-state MMPP. Contrary to previously published related works, the parameters of the MMPP are iteratively calculated as function of the different system parameters. Numerical results obtained with the proposed approximated method are compared against those obtained by both a teletraffic analysis considering that handoff call requests follow a Poisson process and a discrete-event simulation study. The effect of users' mobility factor and burstiness of new call arrivals on the system performance are evaluated.
Year
Venue
Keywords
2017
2017 20TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC)
Mobile cellular networks, time-varying traffic, Poisson and MMPP arrival models, new call blocking, handoff failure and forced termination probabilities
Field
DocType
ISSN
Markov process,Computer science,Markov chain,Computer network,Birth–death process,Burstiness,Queueing theory,Cellular network,Poisson process,Handover
Conference
1347-6890
Citations 
PageRank 
References 
0
0.34
0
Authors
4