Theory and application of reconfigurable intelligent surfaces with integrated sensing

集成传感可重构智能表面理论与应用

基本信息

  • 批准号:
    2333023
  • 负责人:
  • 金额:
    $ 21.38万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2024
  • 资助国家:
    美国
  • 起止时间:
    2024-03-01 至 2026-02-28
  • 项目状态:
    未结题

项目摘要

One major challenge in achieving uninterrupted wireless communications with high data rate is the loss due to propagation environment, such as signal blockage by buildings or signal diffraction by various surfaces. To circumvent these issues, the technique of using reconfigurable intelligent surfaces (RIS) has been proposed. RIS can redirect reflected signals toward intended users, thus avoiding signal blockage, mitigating interference, or increasing security. Engineering the desired propagation environment, however, requires knowledge about important parameters such as the directions of the users or transmitters to be available at the RIS. To address this need, this project will develop a new type of hybrid reconfigurable intelligent surfaces (HRIS). The HRIS will be designed to sense the incident waves on the entire surface, deduce relevant information, such as the directions of users and transmitters, and reconfigure their reflection patterns accordingly. By developing the HRIS, this project paves the way for the implementation of a truly smart and autonomous propagation environment. This project also examines other opportunities that can be enabled by the HRIS to sense the environment with high spatial resolution, such as imaging objects for context-aware homes and buildings or threat detection. The research project is complemented by a comprehensive educational plan to engage graduate and undergraduate students in designing metasurfaces and HRIS, developing compressive sensing techniques, and devising intelligent electromagnetic environments. This project also includes several undergraduate-led efforts where they will learn to use the HRIS to track devices and provide them with focused beams for wireless power transfer (WPT). The resulting adaptive WPT demonstrations will be used in interactive workshops on topics of electromagnetic research and emerging trends in wireless communications and sensing, as well as at outreach events.This research project will outline the design of HRIS and experimentally demonstrate their utility in typical wireless communications settings. It will thus make innovative contributions including 1) the design of a novel metasurface that allows for reconfigurable reflection and sensing of the incident wave, 2) the development and experimental validation of novel algorithms for compressive sensing of the propagation environment with high spatial resolution using only a few receiving units, 3) a smart adaptive communications link where the HRIS detects the transmitter and users and transform its reflection patterns accordingly, and 4) development and experimental validation of novel imaging configurations where the scattered wireless communications signals (signals of opportunities) are collected by the HRIS and processed to retrieve reflectivity maps.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.
实现高数据速率的不间断无线通信的一个主要挑战是传播环境造成的损耗,例如建筑物对信号的阻塞或信号在不同表面的绕射。为了解决这些问题,提出了使用可重构智能曲面(RIS)的技术。RIS可以将反射信号重定向到目标用户,从而避免信号阻塞、减轻干扰或提高安全性。然而,设计期望的传播环境需要关于重要参数的知识,例如用户或发射机的方向在RIS处可用。为了满足这一需求,本项目将开发一种新型的混合可重构智能曲面(HRIS)。HRIS将被设计成感测整个表面上的入射波,推断相关信息,如用户和发射器的方向,并相应地重新配置它们的反射模式。通过开发HRIS,该项目为实现真正智能和自主的传播环境铺平了道路。该项目还研究了HRIS能够以高空间分辨率感知环境的其他机会,例如为背景感知房屋和建筑成像对象或威胁检测。该研究项目还有一个全面的教育计划,旨在让研究生和本科生参与设计变形表面和HRIS,开发压缩传感技术,并设计智能电磁环境。该项目还包括几个本科生主导的项目,他们将学习使用HRIS来跟踪设备,并为它们提供用于无线能量传输(WPT)的聚焦波束。由此产生的自适应WPT演示将用于关于电磁研究和无线通信和传感的新趋势的互动研讨会,以及在外联活动中使用。本研究项目将概述HRIS的设计,并通过实验演示其在典型无线通信环境中的效用。因此,它将做出创新的贡献,包括1)设计允许可重新配置的反射和感测入射波的新的亚表面,2)开发和实验验证仅使用几个接收单元就具有高空间分辨率的传播环境的压缩感测的新算法,3)智能自适应通信链路,其中HRIS检测发射机和用户并相应地变换其反射图案,和4)开发和实验验证新的成像配置,其中分散的无线通信信号(机会信号)由HRIS收集并处理以检索反射率地图。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

SEYEDMOHAMMADRE Faghih Imani其他文献

SEYEDMOHAMMADRE Faghih Imani的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 批准年份:
    2025
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
均相液相生物芯片检测系统的构建及其在癌症早期诊断上的应用
  • 批准号:
    82372089
  • 批准年份:
    2023
  • 资助金额:
    48.00 万元
  • 项目类别:
    面上项目
用于小尺寸管道高分辨成像荧光聚合物点的构建、成像机制及应用研究
  • 批准号:
    82372015
  • 批准年份:
    2023
  • 资助金额:
    48.00 万元
  • 项目类别:
    面上项目
网格中以情境为中心的应用自动化研究
  • 批准号:
    60703054
  • 批准年份:
    2007
  • 资助金额:
    21.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
可重构 MRI 技术,可在 3T 下对深部脑刺激进行安全且高分辨率的成像
  • 批准号:
    10445316
  • 财政年份:
    2021
  • 资助金额:
    $ 21.38万
  • 项目类别:
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
可重构 MRI 技术,可在 3T 下对深部脑刺激进行安全且高分辨率的成像
  • 批准号:
    10217692
  • 财政年份:
    2021
  • 资助金额:
    $ 21.38万
  • 项目类别:
Reconfigurable MRI technology for safe and high-resolution imaging of deep brain stimulation at 3T
可重构 MRI 技术,可在 3T 下对深部脑刺激进行安全且高分辨率的成像
  • 批准号:
    10654726
  • 财政年份:
    2021
  • 资助金额:
    $ 21.38万
  • 项目类别:
Adaptative learning optimization method based on evolutionary learning system and its application to reconfigurable device
基于进化学习系统的自适应学习优化方法及其在可重构设备中的应用
  • 批准号:
    19K12152
  • 财政年份:
    2019
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Accelerating High-Performance Computing Application Kernels Through Reconfigurable Hardware
通过可重构硬件加速高性能计算应用程序内核
  • 批准号:
    16F16764
  • 财政年份:
    2016
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
OP: Application-Aware Reconfigurable Silicon-Photonic Interconnected Computing Systems for Energy-Efficient and Scalable Data Centers
OP:用于节能和可扩展数据中心的应用感知可重构硅光子互连计算系统
  • 批准号:
    1611560
  • 财政年份:
    2016
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Standard Grant
System-level simulation and optimization of a reconfigurable motor/generator for electrical racing car application
用于电动赛车应用的可重构电机/发电机的系统级仿真和优化
  • 批准号:
    469898-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Engage Grants Program
Modular Reconfigurable Systems: Theory and Application
模块化可重构系统:理论与应用
  • 批准号:
    217207-2013
  • 财政年份:
    2013
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Discovery Grants Program - Individual
Modular reconfigurable machines: theory and application
模块化可重构机器:理论与应用
  • 批准号:
    217207-2008
  • 财政年份:
    2012
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Discovery Grants Program - Individual
Realization of Reconfigurable Brain Device and its Application to Autonomous Mobile Robot
可重构脑装置的实现及其在自主移动机器人中的应用
  • 批准号:
    23700264
  • 财政年份:
    2011
  • 资助金额:
    $ 21.38万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了