Analytical modeling of a time-threshold based multi-guard bandwidth allocation scheme for cellular networks

Candan, Idil
Salamah, Muhammed
In this paper, the analytical modeling of a time-threshold based multi-guard bandwidth allocation scheme is presented using a two-dimensional markov chain. The main idea of the scheme is based on monitoring the elapsed real time of handoff calls and according to a time threshold (t(e)), a handoff call is either slightly-prioritized or fully-prioritized. A slightly-prioritized handoff call has higher priority than a new call and lower priority than a fully-prioritized handoff call. Also in this paper, the numerical results obtained from two dimensional markov chain analysis are compared with the numerical results which are obtained using one-dimensional markov chain analysis and simulation ones. The simulation and analytical results agree well. The performances of different bandwidth allocation schemes are measured using a crucial general performance metric Z. Z, which is a performance/cost ratio, is a function of the new call blocking probability, handoff call dropping probability and system utilization all together. The results indicate that our scheme outperforms other traditional schemes.


Waterfall region analysis for iterative decoding
Yılmaz, Ali Özgür (2004-12-01)
Finite length analysis of iterative decoders can be done by using probabilistic models based on EXIT charts. The validity of these models will be investigated by checking the performance of iterative decoding under various scenarios.
Improved state estimation for jump Markov linear systems
Orguner, Umut; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2005)
This thesis presents a comprehensive example framework on how current multiple model state estimation algorithms for jump Markov linear systems can be improved. The possible improvements are categorized as: -Design of multiple model state estimation algorithms using new criteria. -Improvements obtained using existing multiple model state estimation algorithms. In the first category, risk-sensitive estimation is proposed for jump Markov linear systems. Two types of cost functions namely, the instantaneous an...
Comparison of two inference approaches in Gaussian graphical models
Purutçuoğlu Gazi, Vilda; Wit, Ernst (Walter de Gruyter GmbH, 2017-04-01)
Introduction: The Gaussian Graphical Model (GGM) is one of the well-known probabilistic models which is based on the conditional independency of nodes in the biological system. Here, we compare the estimates of the GGM parameters by the graphical lasso (glasso) method and the threshold gradient descent (TGD) algorithm.
Numerical Modelling and Experimental Analysis of Vibratory and Acoustics Behaviours of a Special Design Squirrel-Cage Three-Phase Asynchronous Machine
Ionescu, R. M.; Negoita, A.; N'Diaye, A.; Torregrossa, D.; Djerdir, A.; Miraoui, A.; Scutaru, Gh. (2011-09-10)
The paper presents a comparison between the obtained results from testing a special design 5 kW squirrel-cage three-phase asynchronous machine and the numerical model of the same machine, simulated under the FLUX2D Finite Element Software. The aim is to validate the numerical model in the loaded and unloaded cases. The resulting model will be used for further research into the vibratory behaviour and noise of the motor. In this paper, an experimental approach is used to show the influence of load on motor v...
An approach for decentralized process modeling
Turetken, Oktay; Demirörs, Onur (2007-05-20)
This paper describes a method for organizations to perform process modeling in a decentralized and concurrent manner. The approach is based on the idea that modeling organizations' processes can be performed by individuals actually performing the processes. Instead of having a central and devoted group of people to analyze, understand, model and improve processes, real performers are held responsible to model and improve their own processes concurrently. The paper also summarizes the lessons learned by appl...
Citation Formats
I. Candan and M. Salamah, “Analytical modeling of a time-threshold based multi-guard bandwidth allocation scheme for cellular networks,” 2009, p. 33, Accessed: 00, 2020. [Online]. Available: