IHCS: Collaborative Research: Compressive Spectrum Sensing in Cognitive Radio Networks

这项研究的目的是改进在一种革命性的无线通信范式-认知无线电网络中协作发现未使用频谱的设计，在该网络中认知无线电用户可以检测和共享未使用的频谱。提出的方法是应用协作压缩感知来提高频谱感知的带宽、速度和精度。具体地说，认知无线电不是顺序地扫描一组信道，而是感知多个信道功率的线性组合，并将它们报告给融合中心，在那里使用压缩感知算法恢复被占用的信道。由于所有报告的矩阵具有低等级，因此通过矩阵补全可以准确地恢复丢失和错误的报告。不需要信道增益的先验知识。该系统的计算量更大，但感知更少和更快，这将通过数值和基于USRP2的仿真进行验证。提出的研究具有潜在的变革性，因为新的框架和算法将广泛应用于涉及多个传感器、模式和数据源的信号感知。这项研究将对几个受众产生更广泛的影响。联合稀疏信号重构的研究将有助于压缩感知和无线网络领域的研究。硬件的实施将为工业界带来新的想法。这项拟议的研究将被整合到休斯顿大学和莱斯大学现有的教育/研究工作中，改善这两个机构对代表性不足的少数族裔的教育，并通过NSF赞助的Vigre计划让学生接触到无线网络和压缩传感方面的最先进研究。

The objective of this research is to improve design of collaboratively discovering unused spectrum in a revolutionary wireless communication paradigm, the cognitive-radio network, in which cognitive-radio users can detect and share the unused spectrum. The proposed approach is to apply collaborative compressive sensing to increase spectrum sensing bandwidth, speed, and accuracy. Specifically, the cognitive radios, rather than sweeping a set of channels sequentially, will sense linear combinations of the powers of multiple channels and report them to the fusion center, where the occupied channels are recovered using compressive sensing algorithms. Missing and erroneous reports can be exactly recovered by matrix completion since the matrix of all reports has a low-rank. Prior knowledge of channel gains is not required. The system computes more but senses much less and faster, which will be validated by both numerical and USRP2-based simulations.The proposed research is potentially transformative as the novel framework and algorithms will broadly apply to signal sensing involving multiple sensors, modalities, and data sources. This research will have a broader impact on several audiences. The study of the jointly-sparse signal reconstruction will contribute to researchers working in compressive sensing and wireless networks. The hardware implementation will bring fresh ideas to the industrial community. The proposed research will be integrated into the existing combined education/research effort at the University of Houston and Rice University, improve education of under-represented minorities at the two institutions, and expose students to state-of-the-art research in wireless networks and compressive sensing through the NSF sponsored VIGRE program.