Collaborative Research: RUI: Exploiting Upper Layer Spectrum Sensing and Directionality to Access the Hidden Available Spectrum

认知无线电是一种很有前途的技术，它通过允许动态频谱接入来克服频谱接入需求增加和频谱使用效率低下之间的不平衡。然而，现有的认知无线电网络研究工作是基于一些传统的频谱感知和接入机制，这些机制存在一些缺陷，并且无法利用额外的可用频谱机会。这些传统的频谱感知机制不能有效区分主用户和副用户信号。它们也不能区分主用户发射机和接收机。此外，传统的全向天线频谱接入方案无法利用空间频谱可用性来优化二次用户频谱接入能力。这些缺点导致了频谱资源的浪费，仅靠物理层频谱感知和接入技术是无法解决的。因此，需要结合上层网络技术来解决这些具有挑战性的问题。这项研究具有潜在的变革性，因为它将有助于为认知无线电技术的众多应用创造创新技术，例如公共安全网络、应急网络和健康监测。它还将对具有动态频谱接入的新兴技术的研究产生重大影响，例如车载网络、移动医疗和异构无线网络的机会互联。所提出的设计可以应用于物联网（IoT），物联网设备可以有效地访问广谱。该项目还将研究成果整合到相关的研究生/本科课程和多样性支持中。该项目将对加强无线电频谱接入产生重大影响。它旨在系统地研究一种新的频谱感知和访问框架，以发现和访问认知无线电网络中隐藏在传统频谱感知和访问技术之外的额外可用频谱。为实现增强无线电频谱接入的目标，本项目包括三个主要研究任务：1)网络层频谱感知调度，区分主用户和次用户信号；2)数据链路层频谱感知，用于区分主用户发射机和接收机；(3)基于定向天线的频谱接入，主动利用空间频谱机会，利用时空信道可用性，获得最优定向天线扇形角。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Cognitive radio has recently emerged as a promising technology to overcome the imbalance between the increase in spectrum access demand and the inefficiency in spectrum usage by allowing dynamic spectrum access. However, existing cognitive radio network research work is based on a number of conventional spectrum sensing and access mechanisms that suffer several drawbacks and are unable to exploit additional available spectrum opportunities. These conventional spectrum sensing mechanisms cannot differentiate primary user and secondary user signals effectively. They also cannot distinguish a primary user transmitter and receiver. In addition, conventional omnidirectional antenna-based spectrum access schemes cannot exploit the spatial spectrum availability to optimize the secondary user spectrum access capability. These drawbacks lead to spectrum resource waste and cannot be solved by physical-layer spectrum sensing and access techniques alone. Therefore, upper layer networking techniques are incorporated to solve these challenging problems. This research is potentially transformative as it will help generate innovative techniques to numerous applications of the cognitive radio technology, e.g., public safety networks, emergency networks, and health monitoring. It will also have significant impacts on research in emerging technologies with dynamic spectrum access, such as vehicular networks, mobile health, and opportunistic interconnections of heterogeneous wireless networks. The proposed designs can be applied to Internet-of-Things (IoT) with IoT devices efficiently accessing the wide spectrum. This project also integrates research findings into related graduate/undergraduate courses and diversity support.This project will have a significant impact on enhancing radio spectrum access. It aims at systematically investigating a novel spectrum sensing and access framework to discover and access additional available spectrum hidden from conventional spectrum sensing and access techniques in cognitive radio networks. In particular, this project consists of three major research tasks to achieve the goals of enhancing radio spectrum access: 1) network layer spectrum sensing scheduling to differentiate primary user and secondary user signals; 2) data link layer spectrum sensing to distinguish between a primary user transmitter and receiver; and (3) directional antenna-based spectrum access to proactively utilize the spatial spectrum opportunities, exploit the temporal and spatial channel availability, and obtain the optimal directional antenna sector angle.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.