System service process modeling and system QoS(Quality of Service) analysis are complex in modern wireless communication systems.However,to predict the QoS parameters,too precise a model of system service process might be unnecessary and a reasonable accuracy is preferable.It is crucial for the model to reflect the effect of the system service process on the network QoS.The burstiness of system service process is important in network QoS analysis.We analyze and compare description methods of burstiness,elaborate the peakedness function,and finally present a fitting process model of peakedness curves for Switched Batch Bernoulli Process and verify its effectiveness by numerical analysis.%现代无线通信系统所具有的复杂结构使得系统服务过程建模及服务质量(QoS)分析具有很高计算复杂度。对于以合理精度预测网络QoS而言,过于精准的系统服务过程模型是不必要的,所构建模型应能反映系统服务过程对网络QoS产生的影响。无线通信系统服务过程的突发特性对网络QoS具有重要影响,笔者分析了过程突发特性的描述方法,详细说明了尖度因子函数对过程突发特性的描述及相应表达式,在此基础上给出一个基于尖度因子函数构建切换批伯努利过程马尔可夫模型的方法,并通过数值分析对其有效性和准确性予以了验证。
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