摘要
为降低认知用户的频谱切换率,保障授权用户及认知用户的QoS,通过对频谱历史占用情况的学习,对频谱下个状态的可用性进行预测,选择频谱特性最佳的频谱进行切换。仿真结果表明,该机制能有效降低认知系统中频谱切换率,也可自适应设置业务特性参数权值及频谱吸引概率门限值,具有很好的灵活性。
To reduce the spectrum handoff rate of cognitive users and protect the primary user and the cognitive user＇s QoS. Al-gorithm is occupied by the historical information learning to predict the next spectrum＇s state, choose the best spectrum to switch. The simulation results show that the proposed scheme can effectively reduce the spectral handoff rate in the cognitive system, and also can adaptively set the threshold value of the characteristic parameters..
出处
《信息通信》
2017年第4期17-19,共3页
Information & Communications
基金
重庆城市管理职业学院基金资助项目:(2015kyxm011)
关键词
频谱可用性
频谱切换
历史信息学习
频谱预测
Spectrum availability
Spectrum handoff
Historical information learning
Spectrum prediction
