多信道频谱感知与频谱接入的优化与折衷

Multi-Channel Spectrum Sensing and Spectrum Access:Optimization and Tradeoffs

基于贝叶斯推理的多信道频谱感知方法和思想,文章通过多个认知用户随机地选择部分信道进行协作感知并利用特殊设计的贝叶斯推理法则来快速有效地获取所有信道的活动状态。贝叶斯推理的多信道频谱感知方法也是多分辨率频谱感知的基础,具有重要的应用价值。文章还通过分析多用户多信道条件下频谱感知和频谱接入之间复杂而微妙的内在联系,对其进行适当地优化与折衷,以提高认知系统的性能和效率。

Based on Bayesian Inferring, this paper introduces a novel multi-channel spectrum sensing method, which uses only the partial channel information sensed by collaborating cognitive users to retrieve all the channel states. This idea sheds a light to the more general multi-resolution spectrum sensing problem, and is of practical significance. Then, by investigating the intrinsic relationship between spectrum sensing and spectrum access in multi-user and multi-channel environment, the paper makes a tradeoff between these two processes to improve the system throughput and efficiency