EARS: Collaborative Research: Full Duplex for Cognitive Networks

EARS：协作研究：认知网络的全双工

• 批准号: 1547306
• 负责人: Kannan Srinivasan
• 金额: $ 20万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1547306&HistoricalAwards=false
• 关键词: EARS; Collaborative; Research; Full; Duplex

As new spectrum for data communication becomes available, it is increasingly important to develop cognitive network technologies that can opportunistically use spectrum whenever available and speak different wireless protocols on demand. Full duplex wireless is an exciting new technology that allows a node to send and receive simultaneously on the same spectrum. Despite significant progress, existing work on full duplex wireless focuses on narrowband production wireless systems, such as Wi-Fi and ZigBee. This project aims to develop novel systems and algorithms to embrace full duplex for cognitive networks and support different wireless technologies. The research will be integrated into undergraduate and graduate curriculum, and disseminated broadly to researchers, practitioners policy makers, high school students, parents, and teachers.The project develops techniques that (i) go beyond narrowband and use novel cancellation mechanisms to enable transmit-while-sensing on a wider band spectrum, (ii) support cross technologies that transmit Wi-Fi while receiving LTE and vice versa, and (iii) translate physical layer advances to end-to-end performance benefits by re-visiting upper-layer protocol design. These three thrusts will enable a holistic full duplex cognitive radio platform.

随着用于数据通信的新频谱的出现，开发认知网络技术变得越来越重要，该技术可以在可用的情况下机会性地使用频谱并根据需要使用不同的无线协议。全双工无线是一项令人兴奋的新技术，它允许节点在同一频谱上同时发送和接收。尽管取得了重大进展，但全双工无线方面的现有工作主要集中在窄带生产无线系统，例如 Wi-Fi 和 ZigBee。该项目旨在开发新颖的系统和算法，以支持认知网络的全双工并支持不同的无线技术。该研究将纳入本科生和研究生课程，并广泛传播给研究人员、从业者政策制定者、高中生、家长和教师。该项目开发的技术（i）超越窄带并使用新颖的消除机制来实现传输同时在更宽的频段上进行感知，(ii) 支持在接收 LTE 的同时传输 Wi-Fi 的跨技术，反之亦然，(iii) 通过重新访问上层，将物理层的进步转化为端到端的性能优势协议设计。这三个推动力将实现整体全双工认知无线电平台。