一种认知无线电网络中的新型主动频谱选择算法  

Novel proactive spectrum selection algorithm for cognitive radio networks

作　　者：郭彩丽[1] 曾志民[1] 冯春燕[1] 刘芳芳[1] 

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《西安电子科技大学学报》2008年第6期1121-1126,共6页Journal of Xidian University

基　　金：国家自然科学基金资助(60772110);北京邮电大学研究生创新基金项目资助

摘　　要：为提高认知无线电(CR)网络频谱分配的持续性,建立基于交替更新过程的授权用户频谱利用模型,定义频谱的可用率和稳定度两个概念作为衡量可用频谱质量的参数,在此基础上提出了一种新型的主动频谱选择算法(PSSA).算法通过估计频谱的可用性,并依据频谱满足CR用户业务时长要求的概率,选择可用性好且能满足业务时长要求的最佳频谱接入,实现了PHY/MAC层与应用层的频谱接入跨层优化.仿真表明PSSA算法可有效降低频谱的冲撞率,同时算法可自适应设置频谱特性参数的权值及频谱可用性的门限值,具有很好的灵活性.To improve the persistence of spectrum allocations in cognitive radio networks, a primary user spectrum usage model based on the alternative renewal process is given, and the spectrum utilizable rate and stability are defined as parameters to evaluate the quality of the usable spectrums, on the basis of which a novel Proactive Spectrum Selection Algorithm （PSSA） is proposed. By estimating the spectrum availability metric and the probability of a spectrum opportunity satisfying application requirements of cognitive radio users, the PSSA selects a spectrum with higher availability and opportunity probability to access. It achieves a cross-layer optimization between PHY/MAC and application layers. Simulation results show that the PSSA significantly reduces the collision rate and that it also has been proved to be a well self-adaptive method by adjusting weights of spectrum parameters and the spectrum usability threshold.

关 键 词：认知无线电网络 主动频谱选择 频谱可用性 更新理论 冲撞率 

分 类 号：TN915.01[电子电信—通信与信息系统]