Analytical Performance Estimation of a Wireless TDMA System with Traffic Classification

This paper describes an analytical model for performance estimation of a mobile communications system based on a TDMA/TDD access scheme. In accordance with the ATM classification of services and its terminology, three types of traffic have been taken into account: CBR for voice connections, VBR for real-time data applications and ABR for non real-time data services. Both voice and data traffic is modeled following Poisson processes. Moreover, three different policies for data resource assignment are evaluated: FCFS, NPPS and silence exploitation (SAD). Theoretical versus simulated results show the suitability of the model when the real-time traffic load is relatively low compared to non real-time traffic.

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