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.

无线网络设计的下一代正在经历有趣的变形。无线的传统重点一直在网络容量上，并增加带宽。但是，有了5G，众人瞩目的焦点现在在增加的能力和对新应用的支持之间共享。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）（IoT），共同关注网络设计应用程序的共同关注部分。这种转变也很自然，因为无线行业寻求增长，从很大程度上为用户提供个人设备的用户到将来为整个环境服务。该项目着眼于5G及以后的问题，并询问，未来无线网络可以利用哪些核心功能，以使新的应用程序能力超出通信？该项目将表明，无线网络成像是一种核心能力，该核心能力集成到下一代网络设计中，可以增强许多新的应用程序领域的能力。这项合作项目与赖斯大学和加州洛杉矶大学的调查人员的合作项目称为“一个学位”，以强调使用未来一代无线网络进行成像的关键角度分辨率的重要性。 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涵盖智能家庭和智能城市上下文的数据集。该项目将启用新的成像功能，并成为新兴服务，城市规模信息，智慧 - 友善，智能城市和个人服务等应用程序的发布板。该项目将遵循一个开放实验策略，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，遵循成功的Warp（无线开放访问研究平台）节点和软件的成功传播模型。该项目还将涉及强大的教育和传播，其中包括开发新的本科和研究生课程，遵循开放实验的原则，让本科生参与研究，并制作许多公开可用的设计和数据集。 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 honestly of support through evaluation using the Foundation's intellectual merit和更广泛的影响审查标准。