Abstract :
We consider a joint voice-data packet reservation multiple-access (PRMA) system with transmission errors. Two analysis methods are presented. The first is a combined Markov and equilibrium point analysis. In this method, equilibrium point analysis is used to obtain the equilibrium number of backlogged data terminals, while Markov analysis is used to compute the stationary state probability distribution, assuming the number of backlogged data terminals is equal to the equilibrium value. The second is a Markov analysis using an approximate marginal distribution of backlogged data terminals. System performance measures, namely, voice packet dropping probability, data packet delay, and throughput, are derived in the presence of transmission errors. Computation complexity and accuracy are compared for the two analysis methods. Simulation results are also presented for comparison with analysis results, and good agreement is observed, especially when the packet header error rate is small
Keywords :
Markov processes; computational complexity; data communication; delays; error analysis; packet reservation multiple access; packet switching; probability; random processes; statistical analysis; telecommunication channels; voice communication; Markov analysis; accuracy; analysis methods; approximate marginal distribution; backlogged data terminals; computation complexity; data packet delay; equilibrium point analysis; packet header error rate; performance analysis; random packet error channels; simulation results; stationary state probability distribution; system performance measures; throughput; transmission errors; voice packet dropping probability; voice-data PRMA; Analytical models; Computational modeling; Delay; Distributed computing; Error analysis; Performance analysis; Probability distribution; Stationary state; System performance; Throughput;
