Análise e Modelagem de Desempenho de Sistemas OFDM-TDMA Utilizando Teoria de Filas e Modelo Fluido Modulado a Markov (Performance Analysis and Modeling of OFDM-TDMA Systems Using Queueing Theory and a Markov Modulated Fluid Model)

Victor Hugo Teles Costa (, Flávio Henrique Teles Vieira (, Lee Luan Ling (


This paper appears in: Revista IEEE América Latina

Publication Date: April 2015
Volume: 13,   Issue: 4 
ISSN: 1548-0992

This paper presents a model based on Queuing Theory, Markov Chains and MMFM in order to evaluate the performance of the transmission link in OFDM-TDMA systems. To this end, a MMFM traffic model with autocorrelation function fitting is proposed. From the Queueing model, it is derived multiple QoS parameter estimators. The obtained results confirm that the proposed model is efficient in describing the link performance indicators. The use of MMFM to model the arrival process improves the QoS parameter estimates of the queueing model making their values very close to those of the simulation results.

Index Terms:
OFDM, TDMA, Teoria de Filas, Cadeia de Markov, QoS   

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