权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Collaborative Research: CNS Core: Medium: OneDegree: Foundations and Methods for Imaging in mmWave Wireless Networks

合作研究：CNS 核心：Medium：OneDegree：毫米波无线网络成像的基础和方法

基本信息

批准号：
1955632
负责人：
Suhas Diggavi
金额：
$ 30万
依托单位：
University of California-Los Angeles
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1955632&HistoricalAwards=false
关键词：
Collaborative Research CNS Core Medium

项目摘要

The next-generation of wireless network designs are undergoing an interesting metamorphosis. The traditional focus in wireless has been on network capacity, and increasing bandwidths. However, with 5G, the limelight is now shared between the increasing capacity and support for novel applications. The shared focus on applications in network design is partially fueled by the emergence of new potential markets, e.g., smart cities, smart homes, drones, augmented reality/virtual reality (AR/VR) and Internet of Things (IoT). This shift is also natural as the wireless industry looks for growth, from largely serving a user on their personal device, to serving their whole environment in the future. This project looks at 5G and beyond and asks, what are core capabilities that future wireless networks can leverage, to empower novel applications beyond communications? The project will demonstrate that wireless network imaging is such a core capability, which, integrated into the next generation network designs, could empower many new application domains.This collaborative project with investigators from Rice University and the University of California-Los Angeles is called ‘One Degree’ to highlight the importance of reaching the critical angular resolution for imaging using future-generation wireless communication networks. The technical thrusts of this project are: (a) development of the foundational theoretical framework to study the joint imaging and communications on a mmWave (millimeter wave) wireless communications network and determine the fundamental limits to imaging using these networks, (b) development of systems and methods to achieve and surpass one degree angular resolution, (c) fabricate a custom mmWave front-end chipset and demonstrate imaging using communication networks, and (d) collect a dataset covering smart-home and smart-city contexts. This project will enable new imaging capabilities and become a launchpad for applications such as emergency services, city-scale informatics, smart-homes, smart-cities and personal services. The project will follow an Open Experiments policy, sharing (i) the codebase used to perform experiments, (ii) all generated data and (iii) data analysis code, following the successful dissemination model of WARP (wireless open access research platform) nodes and software. The project will also involve robust education and dissemination that includes the development of new undergraduate and graduate courses, engaging undergraduate students in research, following principles of open experiments, and making much of the designs and datasets obtained publicly available. The project will directly engage meaningfully with K-12 efforts through both targeted student workshops and K-12 teacher training programs.The project details, publications, reports, presentations and datasets will be available at http://computationalimaging.rice.edu/onedegree for a period of at least 5 years after project end-date.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.

下一代无线网络设计正在经历有趣的转变。无线领域的传统重点是网络容量和增加带宽。然而，随着 5G 的发展，容量的增加和对新颖应用的支持现在成为人们关注的焦点。新的潜在市场的出现，例如智能城市、智能家居、无人机、增强现实/虚拟现实（AR/VR）和物联网（IoT），部分推动了对网络设计应用的共同关注。随着无线行业寻求增长，从主要在个人设备上为用户提供服务，到为未来的整个环境提供服务，这种转变也是很自然的。该项目着眼于 5G 及其他领域，并提出以下问题：未来无线网络可以利用哪些核心功能来支持通信以外的新颖应用？该项目将证明无线网络成像是这样一种核心功能，将其集成到下一代网络设计中，可以赋能许多新的应用领域。这个与莱斯大学和加州大学洛杉矶分校的研究人员合作的项目被称为“One Degree”，以强调使用下一代无线通信网络达到成像临界角分辨率的重要性。该项目的技术主旨是：(a) 开发基础理论框架来研究毫米波无线通信网络上的联合成像和通信，并确定使用这些网络成像的基本限制；(b) 开发系统和方法以实现并超过 1 度角分辨率；(c) 制造定制毫米波前端芯片组并演示使用通信网络的成像；(d) 收集涵盖智能家居和智能城市环境的数据集。该项目将实现新的成像功能，并成为紧急服务、城市规模信息学、智能家居、智能城市和个人服务等应用的启动平台。该项目将遵循开放实验政策，遵循 WARP（无线开放访问研究平台）节点和软件的成功传播模型，共享（i）用于执行实验的代码库，（ii）所有生成的数据和（iii）数据分析代码。该项目还将涉及强有力的教育和传播，包括开发新的本科生和研究生课程、让本科生参与研究、遵循开放实验的原则，以及公开获得的大部分设计和数据集。该项目将通过有针对性的学生研讨会和 K-12 教师培训计划，直接有意义地参与 K-12 工作。项目详细信息、出版物、报告、演示文稿和数据集将在项目结束日期后至少 5 年内在 http://computationalimaging.rice.edu/one Degree 上提供。该奖项反映了 NSF 的法定使命，并被认为值得通过使用基金会的智力价值进行评估来支持以及更广泛的影响审查标准。