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

• 批准号: 1956297
• 负责人: Ashok Veeraraghavan
• 金额: $ 90万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing 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=1956297&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

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一个有趣的蜕变。无线领域的传统焦点一直是网络容量和增加带宽。然而，随着5G的发展，现在的聚光灯在不断增加的容量和对新应用的支持之间共享。对网络设计应用的共同关注部分是由于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）。这种转变也是自然的，因为无线行业寻求增长，从主要在个人设备上为用户提供服务，到未来为整个环境提供服务。该项目着眼于5G及以后，并提出了一个问题，即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应用？该项目将证明无线网络成像是一种核心能力，它可以集成到下一代网络设计中，可以增强许多新的应用领域。这个与莱斯大学和加利福尼亚大学洛杉矶分校的研究人员合作的项目被称为“One Degree”，以强调达到下一代无线通信网络成像的关键角分辨率的重要性。 该项目的技术重点是：（a）发展基本理论架构，以研究毫米波的联合成像和通信（毫米波）无线通信网络并确定使用这些网络成像的基本限制，（B）开发实现和超过一度角分辨率的系统和方法，（c）制造定制的毫米波前端芯片组，并使用通信网络演示成像，以及（d）收集涵盖智能家居和智能城市背景的数据集。 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，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，并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教师培训计划直接与K-12工作进行有意义的互动。项目详细信息，出版物，报告，演示文稿和数据集将在http://computationalimaging.rice.edu/onedegree项目结束后至少5年内在www.example.com上提供。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估被认为值得支持。影响审查标准。

项目成果

A Systematic Approach to Designing Broadband Millimeter-Wave Cascode Common-Source With Inductive Degeneration Low Noise Amplifiers

设计具有电感退化低噪声放大器的宽带毫米波共源共栅共源器件的系统方法

• DOI: 10.1109/tcsi.2023.3239396
• 发表时间: 2023
• 期刊: IEEE Transactions on Circuits and Systems I: Regular Papers
• 作者: Hu, Yaolong;Chi, Taiyun
• 通讯作者: Chi, Taiyun

DoF Analysis for Multipath-Assisted Imaging: Single Frequency Illumination

多路径辅助成像的自由度分析：单频照明

• DOI: 10.1109/isit44484.2020.9174228
• 发表时间: 2020
• 期刊: 2020 IEEE International Symposium on Information Theory (ISIT
• 作者: Mehrotra, Nishant;Sabharwal, Ashutosh
• 通讯作者: Sabharwal, Ashutosh

Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning

• 发表时间: 2021-07
• 作者: Antonious M. Girgis;Deepesh Data;S. Diggavi

A 27–46-GHz Low-Noise Amplifier With Dual-Resonant Input Matching and a Transformer-Based Broadband Output Network

具有双谐振输入匹配和基于变压器的宽带输出网络的 27-46-GHz 低噪声放大器

• DOI: 10.1109/lmwc.2021.3059592
• 发表时间: 2021
• 期刊: IEEE Microwave and Wireless Components Letters
• 影响因子: 3
• 作者: Hu, Yaolong;Chi, Taiyun
• 通讯作者: Chi, Taiyun

3D Orientation Estimation With Configurable Backscatter Arrays

使用可配置反向散射阵列进行 3D 方向估计

• DOI: 10.1109/isit50566.2022.9834736
• 发表时间: 2022
• 期刊: 2022 IEEE International Symposium on Information Theory (ISIT
• 作者: Rammal, Mohamad Rida;Diggavi, Suhas;Sabharwal, Ashutosh
• 通讯作者: Sabharwal, Ashutosh