Collaborative Research: EARS: Crowd-based Spectrum Monitoring and Enforcement

合作研究：EARS：基于人群的频谱监控和执行

• 批准号: 1833436
• 负责人: Haitao Zheng
• 金额: $ 23.97万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1833436&HistoricalAwards=false
• 关键词: Collaborative; Research; EARS; Crowd; based; Collaborative; Research; EARS; Crowd; based

The scientists identify an important issue for a world of devices all communicating wirelessly: "How to identify malfunctioning devices or those not fairly sharing the spectrum with others?" The scientists explore scenarios for leveraging local, crowd-sourced mobile devices to detect and identify unauthorized transmitters. The goal of this technique is to reduce the cost of enforcement of network rules by adding the capability of some smart phones to sense the radio spectrum use and report back to a central database.The PIs propose to develop a Crowd-based Spectrum ENforcement System (CSENS), which takes a data-driven approach to spectrum enforcement. Specifically, the PIs propose to conduct 3 tasks: (i) real-time on-demand spectrum monitoring, which enables real-time responses to spectrum measurement tasks; (ii) utilizing physical layer features to embed cryptographic spectrum permits into transmissions, which enables reliably distinguish between authorized and unauthorized spectrum users; (iii) using a library of known signatures for network applications, unauthorized transmitters can be uniquely identified.

科学家为所有人无线通信的设备世界确定了一个重要的问题：“如何识别出故障设备或那些与他人不公平共享频谱的设备？” 科学家探索了利用当地的，众包移动设备来检测和识别未经授权的发射器的方案。 该技术的目的是通过添加某些智能手机感知无线电频谱使用的能力并将其报告回中央数据库来降低网络规则的实施成本。具体而言，PI提议执行3个任务：（i）实时按需频谱监视，这可以实现对频谱测量任务的实时响应； （ii）利用物理层特征嵌入加密光谱允许传输，从而可以可靠地区分授权和未经授权的频谱用户； （iii）使用用于网络应用的已知签名库，可以独特地识别未经授权的发射器。