课题基金 / 基金详情

CCRI: ENS: Enhancing a Millimeter-Wave Massive MIMO Platform to Support the 5G V2X Networking and Automotive Sensing Research Community

CCRI: ENS: Enhancing a Millimeter-Wave Massive MIMO Platform to Support the 5G V2X Networking and Automotive Sensing Research Community
CCRI:ENS:增强毫米波大规模 MIMO 平台以支持 5G V2X 网络和汽车传感研究社区
批准号:
1925767
负责人:
Xinyu Zhang
金额:
$200.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2024-09-30

项目摘要

项目成果

Xinyu Zhang的其他基金

相似基金

相关文献

中文摘要
翻译
该提案旨在开发一个名为M3的开源平台,以促进5G车联网和汽车传感的研究。M3可用于毫米波(mmWave)技术的实验研究,毫米波技术是5G无线通信和汽车雷达传感的基础。毫米波无线电/雷达电子操纵定向波束,由大型天线阵列产生,作为通信/传感介质。可编程性对于毫米波实验研究至关重要,特别是在实时车辆网络/传感中。然而,到目前为止,可编程毫米波设备要么过于昂贵,要么缺乏合理尺寸的天线阵列,而这对于实时波束控制操作至关重要。M3将用具有大型天线阵列的低成本软件无线电/雷达填补这一空白。通过设计一种新颖的无线电/雷达架构,M3将每个节点的成本降低了一个数量级,并将相控阵的尺寸增加了一个数量级。研究小组将在UCSD校园内部署一个由M3无线电/雷达组成的开放式实验测试平台。研究人员还将通过在线问答论坛、实践研讨会/教程、远程访问和硬件借用/复制服务,将M3带到更广泛的研究社区。该提案旨在开发一个可编程的开源大规模多输入/多输出(MIMO)毫米波(mmWave)平台M3,以促进5G车联网和汽车传感的实验研究。该项目包括三个主要研究重点:(i)开发软件/固件,使部分可编程的802.11ad毫米波无线电具有288元相控阵,允许用户重新配置码本条目和波束模式,并访问实时每波束信道状态信息(CSI)。(ii)开发毫米波大规模MIMO软件无线电,共包括4个射频链和144个天线元件。软件无线电将集成OpenAirInterface 5G物理层和核心网络堆栈。(三)开发可编程MIMO毫米波相控阵雷达,具有4个射频链和144个天线单元,用于探索高分辨率汽车传感。与最先进的毫米波软件无线电相比,M3的成本低了一个数量级,但其相控阵的成本要高一个数量级。令人惊讶的低成本归功于一种新颖的无线电架构设计,它将商品相控阵天线重新用作可编程相控阵。该项目将通过实践研讨会/教程将M3引入更广泛的研究社区,并提供用户服务,包括硬件贷款,复制和限制远程访问由M3无线电组成的测试平台。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This proposal aims to develop an open-source platform called M3 to facilitate research in 5G vehicular networking and automotive sensing. M3 enables experimental research on millimeter-wave (mmWave) technologies--the cornerstone for 5G wireless communication and automotive radar sensing. mmWave radio/radar electronically steerable directional beams, generated by large antenna arrays, as communication/sensing medium. Programmability is critical for mmWave experimental research, especially in real-time vehicular networking/sensing. Yet, to date, programmable mmWave devices are either too costly, or lack a reasonably-sized antenna array which is critical for real-time beam-steering operations. M3 will fill this gap with a low-cost software radio/radar featuring a large antenna array. By designing a novel radio/radar architecture, M3 brings the per-node cost down by an order of magnitude, and increases the phased-array size by an order of magnitude, compared with the state-of-the-art. The research team will deploy an open-access experimental testbed on the UCSD campus comprised of the M3 radios/radars. The researchers will also bring M3 to the broader research community, through online Q&A forum, hands-on workshops/tutorials, remote access, and hardware loans/replication services. This proposal aims to develop a programmable open-source massive Multiple-Input/Multiple-Output (MIMO) millimeter-wave (mmWave) platform called M3 to facilitate experimental research in 5G vehicular networking and automotive sensing. The project comprises three major research thrusts: (i) Develop software/firmware to enable a partially programmable 802.11ad mmWave radio with 288-element phased-array, allowing users to reconfigure the codebook entries and beam patterns, and access real-time per-beam channel state information (CSI). (ii) Develop a mmWave massive MIMO software-radio, comprising 4 radio frequency (RF) chains and 144 antenna elements in total. The software radio will integrate the OpenAirInterface 5G physical layer and core network stack. (iii) Develop a programmable MIMO mmWave phased-array radar, with 4 RF chains and 144 antenna elements, used for exploring high-resolution automotive sensing. M3's cost is an order of magnitude lower compared with the state-of-the-art mmWave software-radio, but its phased-array is an order of magnitude higher. The surprisingly low cost is attributed to a novel radio architecture design, which repurposes a commodity phased-array antenna as a programmable phased-array. This project will bring M3 to the broader research community through hands-on workshops/tutorials, and provide user services including hardware loans, replication, and restricted remote access to a testbed comprised of M3 radios.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.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/cvpr46437.2021.00051
发表时间: 2021-06
期刊: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
影响因子: --
作者: [Kun Qian;Shilin Zhu;Xinyu Zhang;Erran L. Li]
通讯作者: Kun Qian;Shilin Zhu;Xinyu Zhang;Erran L. Li
SaTCP: Link-Layer Informed TCP Adaptation for Highly Dynamic LEO Satellite Networks
SaTCP:高动态 LEO 卫星网络的链路层通知 TCP 适配
DOI: 10.1109/infocom53939.2023.10228914
发表时间: 2023
期刊: IEEE
影响因子: --
作者: [Cao, Xuyang, Zhang, Xinyu]
通讯作者: Zhang, Xinyu
DOI: 10.1145/3372224.3419208
发表时间: 2020-09
期刊: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking
影响因子: --
作者: [Song Wang;Jingqi Huang;Xinyu Zhang]
通讯作者: Song Wang;Jingqi Huang;Xinyu Zhang
DOI: 10.1145/3498361.3538944
发表时间: 2022-06
期刊: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
影响因子: --
作者: [Timothy Woodford;Xinyu Zhang;Eugene Chai;K. Sundaresan]
通讯作者: Timothy Woodford;Xinyu Zhang;Eugene Chai;K. Sundaresan
共 10 条
    NSF Convergence Accelerator Track L: An Integrated and Miniaturized Opioid Sensor System: Advancing Evidence-Based Strategies for Addressing the Opioid Crisis
    • 批准号:
      2344344
    • 项目类别:
      Standard Grant
    • 资助金额:
      $64.96万
    • 财政年份:
      2024
    • 负责人:
      Xinyu Zhang
    • 依托单位:
    Effective Strategies to Recruit Underserved Students to Baccalaureate Engineering Success and Transition Programs (Recruit-BEST)
    Collaborative Research: NeTS: Medium: Scalable Metasurface Array for mmWave Communication and Sensing
    • 批准号:
      2312715
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $80.0万
    • 财政年份:
      2023
    • 负责人:
      Xinyu Zhang
    • 依托单位:
    Collaborative Research:SWIFT: Exploiting Application Semantics in Intelligent Cross-Layer Design to Enhance End-to-End Spectrum Efficiency
    • 批准号:
      2128588
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.5万
    • 财政年份:
      2021
    • 负责人:
      Xinyu Zhang
    • 依托单位:
    国内基金
    海外基金
    基于色氨酸代谢调控ENS途径探讨电针治疗功能性消化不良的作用机制
    • 批准号:
      JCZRLH202500075
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2025
    • 负责人:
    • 依托单位:
    基于GDNF/PI3K/AKT信号通路探讨白术七物颗粒调控ENS-ICC-SMC网络治 疗气阴两虚型STC的机制研究
    岩藻糖基化修饰的MSCs介导GDNF正反馈调控肠神经元焦亡及ENPC自噬促进ENS重建
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2023
    • 负责人:
    • 依托单位:
    水稻EnS150基因调控种子休眠和萌发的分子机制研究
    • 批准号:
      32301853
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      30.00万元
    • 批准年份:
      2023
    • 负责人:
      熊敏
    • 依托单位: