Collaborative Research: SWIFT: Nonlinear and Inseparable Radar And Data (NIRAD) Transmission Framework for Pareto Efficient Spectrum Access in Future Wireless Networks

合作研究：SWIFT：未来无线网络中帕累托高效频谱接入的非线性不可分离雷达和数据 (NIRAD) 传输框架

• 批准号: 2348826
• 负责人: Husheng Li
• 金额: $ 24.76万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348826&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Nonlinear; Inseparable

Communications and radar are two major applications of electromagnetic waves, which convey information to a destination and glean information from the environment, respectively. Historically, the two technologies were developed and operated independently, thus using different frequency spectrum bands and different hardware. Facing a scarcity of wireless spectrum resources due to the explosive growth in wireless applications, the integration of communications and radar enables sharing of spectrum and hardware, thus substantially reducing the cost and resource demands. Meanwhile, due to the lower amount of electromagnetic emissions, interference to other wireless services will also be substantially reduced. When bandwidth is saved due to the integration of communications and radar sensing, more bandwidth can be committed to each transceiver, thus achieving higher data transmission rates and finer sensing precision, or allowing more wireless devices to be able to access the spectrum. These advantages are of considerable value for applications such as Internet of Things (IoT) and cyber physical systems (CPSs), such as unmanned aerial vehicles (UAVs) and aerial access networks (AANs). The project also will fulfill an education role, including K-12 outreach, and undergraduate/graduate level course design. The findings of the proposed research will disseminated to academic and industrial communities.This study devises a nonlinear and inseparable radar and data (NIRAD) transmission scheme, in which the functions of communications and radar sensing are integrated in the same waveform and use the same hardware. In contrast to linearly superimposed communications and radar sensing, the NIRAD scheme integrates both functions in an inseparable manner, thus allow each to fully exploit the resources of the other. When a waveform is transmitted, the electromagnetic wave brings information to the communication receiver; upon reflections, the wave brings back information for radar sensing, thus achieving both functions in the same round of transmission. When the different functions of communications and radar sensing are integrated in the same waveform and hardware, they have conflicting interests, due to their different purposes. This project discloses the trade-off between communications and radar sensing and characterizes it in an economics framework. The NIRAD technique is applicable to various practical systems, such as high-definition maps in autonomous driving, space-terrestrial communications, and reconfigurable intelligent surfaces, by improving the efficiencies of bandwidth, power and hardware. The proposed algorithms and protocols will be tested using software simulations and field experiments based on a 5G testbed.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.

通信和雷达是电磁波的两个主要应用，它们分别向目的地传达信​​息，并从环境中收集信息。从历史上看，这两种技术是独立开发和运行的，因此使用不同的频谱频段和不同的硬件。由于无线应用程序的爆炸性增长，通信和雷达的集成使无线频谱资源稀缺，因此可以共享频谱和硬件的共享，从而大大降低了成本和资源需求。同时，由于电磁排放量较低，对其他无线服务的干扰也将大大减少。当由于通信和雷达传感的整合而保存带宽时，可以将更多带宽投入到每个收发器上，从而达到更高的数据传输速率和更高的传感精度，或者允许更多的无线设备能够访问频谱。这些优点对于诸如物联网（IoT）和网络物理系统（CPS）（例如无人驾驶汽车（无人机）和航空通道网络（AAN））等应用具有相当大的价值。该项目还将扮演教育职位，包括K-12外展和本科/研究生级课程设计。拟议研究的发现将传播到学术和工业社区。这项研究设计了非线性和不可分割的雷达和数据（NIRAD）传输方案，在该方案中，通信和雷达传感的功能集成在同一波形中并使用相同的硬件。与线性叠​​加的通信和雷达传感相反，NIRAD方案以不可分割的方式集成了这两个函数，因此允许每个函数完全利用对方的资源。当波形传输时，电磁波将信息带给通信接收器；反射后，波浪会带回雷达传感的信息，从而在同一轮传输中实现了这两个功能。当将通信和雷达传感的不同功能集成到相同的波形和硬件中时，由于其不同的目的，它们具有相互冲突的兴趣。该项目揭示了通信和雷达传感之间的权衡，并在经济学框架中进行了特征。 NIRAD技术适用于各种实用系统，例如通过提高带宽，电源和硬件的效率来提高自动驾驶，太空通信和可重新配置智能表面的高清图和可重新配置的智能表面。提出的算法和协议将使用基于5G测试床的软件模拟和现场实验进行测试。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知识分子和更广泛影响的评估评估来通过评估来支持的。