This paper presents a model based on Queuing Theory and MMFM in order to evaluate the performance of the transmission link in OFDM-TDMA systems. We propose to use a MMFM with autocorrelation function fitting to model the traffic traces. This MMFM traffic model is combined with Markov Chains to form a new queueing model to estimate QoS parameters of OFDM-TDMA systems. That is, from the obtained queueing model, it is derived multiple QoS parameter estimators. The obtained results confirm that the proposed queueing model is efficient in describing the link performance indicators. The use of MMFM instead of a simple Poisson model to describe the arrival processes improves the QoS parameter estimates of the queueing model making their values very close to those obtained by simulations of the OFDM-TDMA system with real data traffic traces Ver menos