Collaborative Research: EARS: Fundamental Limits of Spectrum Sensing

目的：无线连接的无处不在以及其应用和规模的不断增长要求非常高效地使用频谱作为无线行业的主要商品。严格监管的频谱接入政策和日益增长的频谱接入需求推动了这样一种概念，即当许可证持有者未充分利用频谱时，满足未经许可服务的需求。这项拟议项目的目标是描述频谱感知的基本限制，同时认识到信息获取成本、数据流量需求和模型不确定性对系统级和物理级的限制，并对敏捷性、响应性和对地理时间频谱占用变化的适应性提供良好的保证。智力优势：拟议的研究处于无线通信、顺序统计和随机优化的十字路口。它的目的是找出频谱感知的基本极限，并描述关于频谱活动决策的性能保证、感知成本、通信时延容限和模型动态不确定性水平之间的相互影响。这导致了新的频谱感知过程，其中可以基于操作需求在不同方面之间取得最佳平衡。更广泛的影响：这项研究具有多种技术和社会影响。它为评估同一框架内不同可用的频谱感知过程的能力提供了基准，并提供了新的感知过程，其产生的性能水平与理论上的基本限制相匹配。本项目中提出的理论模型和概念有可能对邻近的研究领域产生影响，特别是那些涉及高维数据的实验设计和假设检验的领域。

Objective:Ubiquity of wireless connectivity and its constant growth in application and scale necessitate extremely efficient usage of spectrum as the main commodity in wireless industry. Highly regulated spectrum access policies and growing demands for spectrum access have promoted the notion of accommodating the needs of unlicensed services when the license-holding ones under-utilize the spectrum. The goal of this proposed project is to characterize the fundamental limits of spectrum sensing while recognizing the system-level and physical-level limitations imposed by costs of information acquisition, data traffic demands, and model uncertainties with sound guarantees on agility, responsiveness, and adaptability to the geo-temporal spectral occupancy variations. Intellectual merit:The proposed research lies at the crossroad of wireless communication, sequential statistics, and stochastic optimization. It aims to find the fundamental limits of spectrum sensing and delineates the interplay among the performance guarantees on the decisions about spectral activities, cost of sensing, communication delay tolerance, and the uncertainty level about model dynamics. This leads to novel spectrum sensing procedures in which an optimal balance among can be struck among different aspects based on the operational needs. Broader impact:The research has multiple technological and societal impacts. It furnishes a baseline for assessing the competency of different available spectrum sensing procedures within the same framework, and also provides novel sensing procedures that yield performance levels that match the theoretical fundamental limits. The theoretical models and concepts that are developed in this project have the potential to impact adjacent research domains, especially those involving experimental design and hypothesis testing for high-dimensional data.