[1]陆彦辉,李兆平,韩淑书,等.OFDMA系统多业务频谱切换策略的CPN建模及性能评价[J].郑州大学学报(工学版),2016,37(05):57-61.[doi:10.13705/j.issn.1671-6833.2016.05.011]
　Lu Yanhui,Li Zhaoping,Han Shujun,et al.The CPN Modeling and Performance Evaluation about Spectrum Handoff Strategies in OFDMA Multi-service Communication System[J].Journal of Zhengzhou University (Engineering Science),2016,37(05):57-61.[doi:10.13705/j.issn.1671-6833.2016.05.011]
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OFDMA系统多业务频谱切换策略的CPN建模及性能评价()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
37
期数:
2016年05期
页码:
57-61
栏目:
出版日期:
2016-11-25

文章信息/Info

Title:
The CPN Modeling and Performance Evaluation about Spectrum Handoff Strategies in OFDMA Multi-service Communication System
作者:
陆彦辉; 李兆平; 韩淑书; 君杨守义
1.郑州大学信息工程学院,河南郑州450001;2.河北省长途通信传输局石家庄传输局,河北石家庄050051
Author(s):
Lu Yanhui1; Li Zhaoping2; Han Shujun1; Yang Shouyi1
1. School of Information Engineering, Zhengzhou University, Zhengzhou, Henan 450001
关键词:
频谱切换; Markov; 着色Petri网; 多业务; 数学分布
Keywords:
DOI:
10.13705/j.issn.1671-6833.2016.05.011
文献标志码:
A
摘要:
为保障用户的不同服务要求,对不同业务执行区分服务并实现频谱切换管理是通信系统亟需解决的主要问题之一.研究切换问题的传统方法是Markov建模,Markov模型具有无记忆特性,并且易于产生状态空间爆炸问题,这使得频谱切换策略的研究大多停留在单业务OFDMA系统.应用着色Petri网(colored petri nets,CPN)开发适用于多业务OFDMA系统的频谱切换策略,建立了4种兼顾切换用户和新到用户传输性能的频谱切换策略的CPN模型.仿真结果表明,CPN能够克服Markov模型的局限性,便于分析复杂系统,特别是到达规律服从多种数学分布的多业务系统频谱切换策略.
Abstract:
In order to guarantee the different service requirements of users, implementing differentiated services for different services and realizing spectrum switching management is one of the main problems that need to be solved urgently in communication systems. The traditional method to study switching problems is Markov modeling, and the Markov model has the characteristics of no memory, and The problem of state space explosion is easy to occur, which makes the research on spectrum switching strategies mostly stay in single-service OFDMA systems. Applying colored Petri nets (colored petri nets, CPN) to develop spectrum switching strategies suitable for multi-service OFDMA systems, established four kinds of The CPN model of the spectrum switching strategy for switching users and the transmission performance of new users. The simulation results show that CPN can overcome the limitations of the Markov model and facilitate the analysis of complex systems, especially the spectrum switching strategies of multi-service systems whose arrival law obeys multiple mathematical distributions .
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