MULTI-DIMENSIONAL MARKOV CHAIN–BASED ANALYSIS OF CONFLICT PROBABILITY FOR SPECTRUM RESOURCE SHARING  

作　　者：张轶 喻莉 张利维 

机构地区：[1]Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics [2]School of Mathematics and Statistics, Huazhong University of Science and Technology

出　　处：《Acta Mathematica Scientia》2015年第1期207-215,共9页数学物理学报（B辑英文版）

基　　金：supported in part by the National Natural Science Foundation of China(60972016,61231010);the Funds of Distinguished Young Scientists(2009CDA150);China-Finnish Cooperation Project(2010DFB10570);Specialized Research Fund for the Doctoral Program of Higher Education(20120142110015)

摘　　要：In this paper, we consider the optimal problem of channels sharing with het-erogeneous traffic （real-time service and non-real-time service） to reduce the data conflict probability of users. Moreover, a multi-dimensional Markov chain model is developed to analyze the performance of the proposed scheme. Meanwhile, performance metrics are derived. Numerical results show that the proposed scheme can effectively reduce the forced termination probability, blocking probability and spectrum utilization.In this paper, we consider the optimal problem of channels sharing with het-erogeneous traffic （real-time service and non-real-time service） to reduce the data conflict probability of users. Moreover, a multi-dimensional Markov chain model is developed to analyze the performance of the proposed scheme. Meanwhile, performance metrics are derived. Numerical results show that the proposed scheme can effectively reduce the forced termination probability, blocking probability and spectrum utilization.

关 键 词：multi-dimensional Markov chain model independent Poisson process negative exponential distribution forced termination probability blocking probability 

分 类 号：O211.1[理学—概率论与数理统计]