Performance Analysis and Modeling of OFDM-TDMA Systems Using Queueing Theory and a Markov Modulated Fluid Model

Author

Costa, V.H.T. ; Vieira, H.H.T. ; Ling, L.L.

Author_Institution

Escola de Eng. Eletr., Mec. e de Comput., Univ. Fed. de Goias, Goias, Brazil

Volume

13

Issue

4

fYear

2015

fDate

Apr-15

Firstpage

951

Lastpage

960

Abstract

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.

Keywords

Markov processes; OFDM modulation; parameter estimation; quality of service; queueing theory; time division multiple access; MMFM traffic model; OFDM-TDMA systems; Poisson model; QoS parameters estimation; autocorrelation function; data traffic traces; link performance indicators; markov modulated fluid model; performance analysis; queueing theory; Analytical models; Irrigation; Markov processes; OFDM; Quality of service; Signal to noise ratio; Time division multiple access; Cadeia de Markov; OFDM; QoS; TDMA; Teoria de Filas;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2015.7106342

Filename

7106342