基于马尔可夫流体模型的无线中继网络系统容量分析

Effective Capacity Analysis for Markov Fluids Model in Incremental Relay System

本文建立了无线中继网络基于马尔可夫过程的流体模型,信息源节点信息包的到达过程建模为马尔可夫调制泊松过程,而发射过程刻画为一个依赖于信道状态信息的马尔可夫相位过程,通过理论分析得出了系统的概率平衡方程,利用母函数方法求出了队列长度的平稳分布概率和系统参数H值的计算方法,并通过矩阵几何分析方法获得了系统有效容量分析表达式和系统平衡的条件,同时对队列平均长度等QoS性能参数进行了理论分析,仿真结果验证了理论分析的正确性和有效性.

This paper builds the Markov fluids analytical model in Relay System where bursty traffic packet arrival process is generated by Markov-modulated Poisson process and the transmission process is described by a phase-type process based on the channel state information. We obtain the system＇s probability equilibrium equation and the asymptotic probability distribution of the system queue length using the master function method and get the method to achieve H. We use Maxtix-Geometric method to achieve the analytical expressions of effective capacity and the system＇ s equilibrium condition. Moreover, the other quality of service （ QoS）performance metrics such as average queue length and packet loss rate are derived. The simulated result shows that the theory model and analysis are valid.