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

• Published in: Acta mathematica scientia Vol. 35; no. 1; pp. 207 - 215
• Main Author: 张轶 喻莉 张利维
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 2015; Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China%School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
• Subjects: 60J28; 68Q87; Blocking; blocking probability; Channels; forced termination probability; independent Poisson process; Markov chains; Markov链模型; Mathematical models; multi-dimensional Markov chain model; negative exponential distribution; Optimization; Performance measurement; Real time; Utilization; 冲突概率; 基础; 多维; 实时服务; 资源共享; 频谱利用率; 马尔可夫链; blocking probability; forced termination probability; independent Poisson process; negative exponential distribution; 60J28; multi-dimensional Markov chain model; 68Q87
• ISSN: 0252-9602; 1572-9087
• DOI: 10.1016/S0252-9602(14)60152-1

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.