Learning-based Predictive Dynamic Spectrum Access Framework: a Practical Perspective for Enhanced QoE of Secondary Users.
IET Communications(2018)
关键词
radio spectrum management,cognitive radio,learning (artificial intelligence),secondary user,spectrum-sensing efficiency,channel-switching frequency,CSF,primary users,PUs,statistical methods,apriori information,PU activity,learning-based prediction,future idle times,enhanced QoE,spectrum-sensing energy requirement,SU-PU interference,prediction approach,traffic scenarios,single PU channel case,multiple channel case,particular data traffic,practical scenario,PU data traffic,practicability,prediction-based opportunistic dynamic spectrum access,SU QoE,random channel selection,predictive dynamic spectrum access framework,practical perspective,cognitive radio environment
AI 理解论文
溯源树
样例

生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要