DocumentCode :
62322
Title :
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
Link To Document :
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