基于干扰对齐的自适应频谱共享算法

Adaptive spectrum sharing algorithm based on interference alignment

当干扰对齐应用于认知无线电网络时,在某些信道状态下期望信号的信干噪比明显下降,影响了主用户的通信质量。因此,提出了一种基于干扰对齐的自适应频谱共享算法。该算法能够根据主用户期望信号的信干噪比,对主次用户的协作方式进行自适应地调整;并在保证主用户通信质量的前提下,共享授权频段。仿真结果表明,该算法能有效解决基于干扰对齐的频谱共享中主用户通信质量下降问题,并在保证主用户性能的同时,提高次用户的接入几率。

When interference alignment（ IA） is applied to cognitive radio（ CR） network,the signal-to-interference-plus-noise ratio（ SINR） of the primary user（ PU） may decrease under some status of the channel. This may affect the quality of the PU＇s communication. This paper proposed an adaptive spectrum sharing algorithm based on IA. According to the desired signal＇s SINR of PU,the proposed algorithm adjusts adaptively in the cooperative approach between PU and SUs,and shares the licensed spectrum on the premise of guaranteeing the PU＇s communication quality. The simulation analysis showed that the problem of the decrease of PU＇ s communication quality in spectrum sharing based on IA is resolved effectively by the proposed algorithm. And the SU＇s accessing probability was improved while guaranteeing PU＇s performance.