提出了一种基于无线指纹数据库的频谱感知方案。首先,在蜂窝认知无线电网络(Cell Cognitive Radio Network,CCRN)覆盖的目标地理区域内,次用户设备(Secondary User Equipment,SUE)收集大量频谱观测数据,基于各种机器学习算法对频谱观测...提出了一种基于无线指纹数据库的频谱感知方案。首先,在蜂窝认知无线电网络(Cell Cognitive Radio Network,CCRN)覆盖的目标地理区域内,次用户设备(Secondary User Equipment,SUE)收集大量频谱观测数据,基于各种机器学习算法对频谱观测数据进行处理得到授权频谱上主用户发射机(Primary User Transmit,PUT)的传输模式;随后,在PUT不同的传输模式下划分地理位置区域,采用基于空间距离计算的方法获取网格标签,建立无线指纹数据库;最后,有感知需求的次用户设备(Secondary User Equipment,SUE)根据接收到的基站(Base Station,BS)参考信号的到达时间(Time Of Arrival,TOA)估计值来获取其无线指纹,然后与无线指纹数据库(Wireless FingerPrint Database,WFPD)中的无线指纹(Wireless FingerPrint,WFP)进行匹配确定其地理位置,并由此确定授权频段的接入标签。仿真结果表明,本方案方案在减少对主用户干扰的前提下,增加了授权频谱的接入机会。展开更多
The necessity and the feasibility of introducing attribute weight into digital fingerprinting system are given. The weighted algorithm for fingerprinting relational databases of traitor tracing is proposed. Higher wei...The necessity and the feasibility of introducing attribute weight into digital fingerprinting system are given. The weighted algorithm for fingerprinting relational databases of traitor tracing is proposed. Higher weights are assigned to more significant attributes, so important attributes are more frequently fingerprinted than other ones. Finally, the robustness of the proposed algorithm, such as performance against collusion attacks, is analyzed. Experimental results prove the superiority of the algorithm.展开更多
文摘提出了一种基于无线指纹数据库的频谱感知方案。首先,在蜂窝认知无线电网络(Cell Cognitive Radio Network,CCRN)覆盖的目标地理区域内,次用户设备(Secondary User Equipment,SUE)收集大量频谱观测数据,基于各种机器学习算法对频谱观测数据进行处理得到授权频谱上主用户发射机(Primary User Transmit,PUT)的传输模式;随后,在PUT不同的传输模式下划分地理位置区域,采用基于空间距离计算的方法获取网格标签,建立无线指纹数据库;最后,有感知需求的次用户设备(Secondary User Equipment,SUE)根据接收到的基站(Base Station,BS)参考信号的到达时间(Time Of Arrival,TOA)估计值来获取其无线指纹,然后与无线指纹数据库(Wireless FingerPrint Database,WFPD)中的无线指纹(Wireless FingerPrint,WFP)进行匹配确定其地理位置,并由此确定授权频段的接入标签。仿真结果表明,本方案方案在减少对主用户干扰的前提下,增加了授权频谱的接入机会。
文摘The necessity and the feasibility of introducing attribute weight into digital fingerprinting system are given. The weighted algorithm for fingerprinting relational databases of traitor tracing is proposed. Higher weights are assigned to more significant attributes, so important attributes are more frequently fingerprinted than other ones. Finally, the robustness of the proposed algorithm, such as performance against collusion attacks, is analyzed. Experimental results prove the superiority of the algorithm.
