Collaborative Research : SWIFT : Effective Spectrum Utilization for Coexisting Active, Semi-passive, and Passive IoT Systems

合作研究：SWIFT：共存主动、半被动和被动物联网系统的有效频谱利用

• 批准号: 2127908
• 负责人: Ting Zhu
• 金额: $ 40万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2127908&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Effective; Spectrum

The use of Internet-of-Things (IoT) devices in many applications has been increasing exponentially. By connecting billions of sensors, actuators, and various smart objects to the Internet, IoT will produce an unprecedented amount of information for making more informed decisions in numerous public and private sectors. To support various applications, IoT devices are connected via different types of communication networks (e.g., LTE, WiFi, ZigBee, etc.). To support future IoT devices, backscatter technology provides a promising direction with i) high spectrum efficiency by reusing existing RF signal; ii) energy-efficient communication; and iii) low cost. In this project, we propose to create a frequency agnostic backscatter system that can operate across different protocols and frequency bands. The proposed research, if successful, can be a catalyst for developing and deploying new applications, thus having a potentially enormous impact on the U.S. economy by fostering job growth related to IoT-based applications. The proposed research will also enrich the scientific knowledge of wireless networking and mobile computing. The PIs have been strongly committed to broadening participation in computing and have plans to raise interest in technology among K-12 students and other underrepresented minority groups. In addition, the PIs aim to enhance undergraduate research experience through senior design projects.The goal of this project is to design a frequency agnostic backscatter system that can operate across different wireless protocols (e.g., LTE, WiFi, ZigBee) and frequency bands and has the potential to be deployed at different locations to support various applications. To achieve this goal, we propose a holistic solution to address the challenges of spectrum utilization and coexistence among active, semi-passive, and passive IoT devices across different frequency bands. Specifically, we seek to investigate novel hardware designs that can improve the overall spectrum utilization in heterogeneous networks that work in different frequency bands. Our proposed research can effectively address the challenges of spectrum utilization in the IoT networks with coexisting active and passive radios.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.

物联网（IoT）设备在许多应用中的使用呈指数级增长。通过将数十亿个传感器、执行器和各种智能对象连接到互联网，物联网将产生前所未有的信息量，以便在众多公共和私营部门做出更明智的决策。为了支持各种应用，IoT设备经由不同类型的通信网络（例如，LTE、WiFi、ZigBee等）。为了支持未来的物联网设备，反向散射技术提供了一个有前途的方向，即i）通过重用现有RF信号实现高频谱效率; ii）节能通信;以及iii）低成本。在这个项目中，我们建议创建一个频率不可知的反向散射系统，可以在不同的协议和频带。这项研究如果成功，将成为开发和部署新应用的催化剂，从而通过促进与物联网应用相关的就业增长，对美国经济产生潜在的巨大影响。拟议的研究还将丰富无线网络和移动的计算的科学知识。PI一直致力于扩大对计算的参与，并计划提高K-12学生和其他代表性不足的少数群体对技术的兴趣。此外，PI旨在通过高级设计项目增强本科生的研究经验。该项目的目标是设计一个频率不可知的反向散射系统，该系统可以在不同的无线协议（例如，LTE、WiFi、ZigBee）和频带，并且具有部署在不同位置以支持各种应用的潜力。为了实现这一目标，我们提出了一个整体解决方案，以解决频谱利用率和不同频段的有源、半无源和无源物联网设备之间共存的挑战。具体来说，我们寻求研究新的硬件设计，可以提高整体频谱利用率的异构网络，工作在不同的频带。我们提出的研究可以有效地解决物联网网络中存在的有源和无源无线电的频谱利用的挑战。该奖项反映了NSF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。