Estimation of quality of service parameters for OFDM–TDMA networks using Markov chains and service curve

• Published in: International journal of communication systems Vol. 30; no. 6; pp. np - n/a
• Main Authors: Vieira, Flávio H. T., Costa, Victor H. T., Rocha, Flávio G. C., Ling, Lee L.
• Format: Journal Article
• Language: English
• Published: Chichester Wiley Subscription Services, Inc 01.04.2017
• Subjects: envelope process; Estimating; Links; Markov analysis; Markov models; Mathematical models; MMFM; Multiple access; Multiplexing; Networks; OFDM; QoS; Queueing Theory; Queuing theory; service curve; TDMA
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.3125

Summary This paper presents a model based on Queueing Theory for Orthogonal Frequency‐Division Multiplexing–Time‐Division Multiple Access (OFDM–TDMA) networks. This network model requires a Markovian model to the traffic processes. Thus, we present a Markov Modulated Fluid Model (MMFM) with autocorrelation function fitting for the network traffic, in order to evaluate the performance of the transmission link in OFDM–TDMA systems. That is, we deduce equations for estimating QoS parameters of OFDM–TDMA systems. The obtained results confirm that the proposed network model is efficient in describing the OFDM based link performance. A novel equation is also introduced for estimating the buffer overflow probability in OFDM–TDMA systems using a proposed network service curve. The computational effort is reduced compared to the Queueing Theory based method of overflow probability estimation. Besides, the results show that the estimates are very close to those obtained by simulations. This paper addresses the Orthogonal Frequency‐Division Multiplexing–Time‐Division Multiple Access transmission system and proposes a model based on Queueing Theory to describe the behavior of the user's queue. To this end, models have been considered for the system transmission rate and for the packet arrival rate.