北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2014, Vol. 37 ›› Issue (6): 77-80.doi: 10.13190/j.jbupt.2014.06.016

• 论文 • 上一篇    下一篇

认知无线电网络频谱聚合策略的性能优化

金顺福1,2, 李刚1,2, 霍占强3   

  1. 1. 燕山大学 信息科学与工程学院, 河北 秦皇岛 066004;
    2. 河北省计算机虚拟技术与系统集成重点实验室, 河北 秦皇岛 066004;
    3. 河南理工大学 计算机科学与技术学院, 河南 焦作 454000
  • 收稿日期:2014-04-01 出版日期:2014-12-28 发布日期:2014-10-17
  • 作者简介:金顺福(1966-),女,教授,博士生导师,E-mail:jsf@ysu.edu.cn.
  • 基金资助:

    国家自然科学基金项目(61472342)

Performance Optimization of Spectrum Aggregation Strategy in Cognitive Radio Networks

JIN Shun-fu1,2, LI Gang1,2, HUO Zhan-qiang3   

  1. 1. School of Information Science and Engineering, Yanshan University, Hebei Qinhuangdao 066004, China;
    2. The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Hebei Qinhuangdao 066004, China;
    3. College of Computer Science and Technology, Henan Polytechnic University, Henan Jiaozuo 454000, China
  • Received:2014-04-01 Online:2014-12-28 Published:2014-10-17

摘要:

为了有效提高认知无线电网络频谱共享的性能,综合考虑了集中控制模式下的数据传输质量及信道利用率,研究了基于主用户的频谱聚合策略. 针对一个聚合频谱中的多个信道,面向次级用户建立具有多服务台且传输过程可同步中断的离散时间排队模型. 使用矩阵几何解方法,求解出主用户数据包阻塞率、次级用户数据包平均延迟以及信道利用率等性能指标的表达式. 实验结果表明,在设置频谱聚合容量时,不同性能指标之间存在折中关系. 通过建立成本函数,给出了频谱聚合容量的设置方案,实现了认知无线电网络频谱聚合策略的性能优化.

关键词: 认知无线电网络, 频谱聚合, 多信道, 离散时间排队模型, 矩阵几何解

Abstract:

In order to effectively improve the spectrum sharing performance in cognitive radio network, considering the transmission quality and channel utilization with centralized control mode, the spectrum aggregation strategy for primary users is investigated. For an aggregated spectrum consists of multiple channels, considering that primary users have higher priority to secondary users, a discrete time queueing model with multiple servers and synchronous transmission interruption is built. Using the method of matrix geometric solution, the steady state distribution of the system is given. Accordingly, performance measures in terms of blocking ratio of primary users, average delay of secondary users and channel utilization are derived. Experimental results show that when setting the spectrum aggregation capacity, there is a trade-off between different performance measures. By establishing a system cost function, the scheme for setting spectrum aggregation capacity is carried out, and the spectrum aggregation strategy in cognitive radio networks is optimized.

Key words: cognitive radio networks, spectrum aggregation, multiple channels, discrete time queuing model, matrix geometric solution

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