Modeling and Performance Analysis of Statistical Priority-based Multiple Access Protocol

As the rapid development of wireless communication, a growing number of communication systems generate multi-priority traffic, and different priority traffic has different requirements on delay and loss rate. Statistical priority-based multiple access protocol (SPMA) can be applied to these systems by virtue of its high-reliability and low-delay characteristics. In this paper, we propose a non-preemptive M/M/1/K queuing model to analyze the performance of different priority traffic in SPMA in terms of the average packet loss rate and the average packet delay. Firstly, we take no account of threshold of channel occupancy. Through analyzing the process of state transition, we can get the steady-state probability of the model. The loss rate and delay can be obtained based on the steady-state probability. Then, we extend to the case in consideration of threshold. Extensive simulations demonstrate that loss rate values and delay values obtained from our analytical model closely match the simulation results under various offered loads. More importantly, our model can enable designers to obtain a better understanding of the effect of protocol parameters on the performance of SPMA.