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: 2305246
• 负责人: Ting Zhu
• 金额: $ 40万
• 依托单位: Ohio State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2305246&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.

在许多应用程序中，在许多应用程序中使用（IoT）设备的使用呈指数增长。通过将数十亿个传感器，执行器和各种智能对象连接到Internet，IoT将产生空前的信息，以在许多公共和私营部门中做出更明智的决定。为了支持各种应用程序，IoT设备通过不同类型的通信网络（例如LTE，WiFi，Zigbee等）连接。为了支持未来的IoT设备，反向散射技术通过重复现有的RF信号来提供高频谱效率的有希望的方向； ii）节能沟通； 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，该系统可以在不同的协议和频带上运行。拟议的研究（如果成功）可以成为开发和部署新应用程序的催化剂，从而通过促进与基于IoT的应用相关的工作增长对美国经济产生巨大影响。拟议的研究还将丰富无线网络和移动计算的科学知识。 PI一直致力于扩大计算的参与，并计划在K-12学生和其他代表性不足的少数群体中提高对技术的兴趣。此外，PI旨在通过高级设计项目来增强本科研究经验。该项目的目的是设计频率不可知的反向散射系统，该系统可以跨不同的无线协议（例如LTE，WiFi，Zigbee）和频率粉红斑进行操作，并具有在不同的位置部署的潜力来支持各种应用。为了实现这一目标，我们提出了一个整体解决方案，以应对不同频段跨不同频段的主动，半通用和被动物联网设备之间的频谱利用率和共存的挑战。具体而言，我们试图研究可以改善在不同频段工作的异质网络中的整体频谱利用的新型硬件设计。我们提出的研究可以有效地解决IoT网络中频谱利用的挑战，并共存为主动和被动的无线电。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点评估和更广泛的影响来审查标准的。

项目成果

High-Granularity Modulation for OFDM Backscatter

• DOI: 10.1109/tnet.2023.3286880
• 发表时间: 2024-02
• 期刊: IEEE/ACM Transactions on Networking
• 作者: Xin Liu;Zicheng Chi;Wei Wang;Yao Yao-Yao;Pei Hao;Ting Zhu

LightThief: Your Optical Communication Information is Stolen behind the Wall

LightThief：您的光通信信息在墙后被盗

• 发表时间: 2023
• 期刊: 32nd USENIX Security Symposium (USENIX Security 23
• 作者: Liu, Xin;Wang, Wei;Song, Guanqun;Zhu, Ting
• 通讯作者: Zhu, Ting