Friday 19th of April 2024
 

QoS-Aware SINR-based Call Blocking Evaluation in Cellular Networks with 3G Interface


Moses Ekpenyong and Imeh Umoren

A Quality of service (QoS)-aware signal to interference and noise ratio (SINR)-based blocking probability model is simulated in this paper to evaluate the performance of networks with third generation (3G) interface. To arrive at a suitable model, we set a relatively low SINR threshold value (SINRth), which results in the admission of more users into the system. But this in turn yields an increased blocking probability and reduces the spectral efficiency. In this paper, we employ an empirical modeling approach, by measuring the occurrence of call blocking under ideal conditions, within a specific time period, from an established cellular network. The observed data parameters are used as model predictors during the simulation phase. Simulation results reveal that increased system capacity degrades the performance of the network due to call blocking which the system is most likely to experience, but the rate of blocking could be minimized by properly guarding the SINR threshold levels.

Keywords: QoS, SINR, call blocking, spread spectrum

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ABOUT THE AUTHORS

Moses Ekpenyong
EKPENYONG, Moses obtained his B.Sc. in Computer Science/Statistics in 1995, M.Sc. in Computer Science in 2004. His PhD. research is in Speech Technology. Mr. Ekpenyong is a lecturer in the Department of Computer Science, University of Uyo, Nigeria and has examined both undergraduate and postgraduate dissertations within and outside Nigeria. He is a reviewer to local and international journals and belongs to the following professional bodies: Nigerian Association of Mathematical Physics (NAMP), Nigeria Computer Society (NCS), International Speech and Communications Association (ISCA), Nigeria Mathematical Society (NMS), Nigerian Statistical Association (NSA), West-African Linguistics Society (WALS) and African Human Language Technology (HLT) Society. He is an International Scholar and enjoys interdisciplinary collaborations with other fields where computers can be applied. He is currently an Academic visitor to the Centre for Speech Technology Research (CSTR), University of Edinburgh and has a plethora of publications in his area of interest – Speech technology and wireless communications.

Imeh Umoren
UMOREN, Ime received his B. Sc. degree in Computer Science from the University of Uyo, and a Master of Science, also in Computer Science from the University of Port Harcourt in 2007. He was trained in the University of Calabar, Calabar on Data Processing and Unix Technologies from 1986-1988 respectively. He held a Total E&P Graduate Scholarship from 2010-2012. He is a lecturer at the Department of Computer Science, Akwa Ibom State University (AKSU), Mkpat Enin, Akwa Ibom State, Nigeria. Presently, He is a PhD research student at the University of Port Harcourt, Port Harcourt. His research focus is on wireless communication, ubiquitous learning, sensor mobile and intelligent handover management Systems.


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