Research Initiation Award: Investigation and Design of Terahertz Communication Systems with Artificial Intelligence

研究启动奖:人工智能太赫兹通信系统研究与设计

基本信息

  • 批准号:
    2200626
  • 负责人:
  • 金额:
    $ 29.91万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-08-15 至 2025-07-31
  • 项目状态:
    未结题

项目摘要

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Research Initiation Awards provide support for junior and mid-career faculty at Historically Black Colleges and Universities who are building new research programs or redirecting and rebuilding existing research programs. It is expected that the award helps to further the faculty member's research capability and effectiveness and improve research and teaching at the home institution. This award to Howard University provides an opportunity to analyze Terahertz (THz)-band communication to meet the needs of next generation cellular communication systems. Specifically, artificial intelligence tools will be applied to digital and statistical signal processing techniques, network protocols, and linear and non-linear optimization techniques to develop analytical performance analysis tools, design innovative algorithms, and validate computer simulation techniques. This project provides an opportunity to train undergraduate and graduate students, thereby contributing to the next generation of scientists who can contribute to scientific innovation, creativity, and productivity.Data transmission in Terahertz (THz)-band, namely 0.1 THz to 10 THz, holds the potential of using the wide bandwidths available at THz frequencies to meet the high data rate requirements of the (next) sixth generation (6G) of cellular communications. However, the unprecedented multi-GHz bandwidth in THz-band comes at the expense of high propagation loss, blockage effect, molecular absorption, and the requirement for sophisticated design of radio frequency electronics. Therefore, this project describes three major research thrusts, 1) investigate fundamental challenges for baseband signal processing while operating at THz-band, 2) design innovative, explainable, scalable, low-complexity, and robust algorithms and protocols while leveraging machine and deep learning, and 3) analyze the end-to-end system performance in a standardized simulation platform. Overall, the goal of this project is to address the signal processing challenges, develop an accurate channel model of the THz band in different propagation environments to predict channel behavior between various system configurations.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.
历史上的黑人学院和大学本科课程(HBCU-UP)通过研究启动奖为历史上的黑人学院和大学的初级和中级职业教师提供支持,他们正在建立新的研究项目或重新定向和重建现有的研究项目。预计该奖项将有助于进一步提高教师的研究能力和效率,并改善家庭机构的研究和教学。授予霍华德大学的这一奖项提供了一个分析太赫兹(THz)波段通信以满足下一代蜂窝通信系统需求的机会。具体而言,人工智能工具将应用于数字和统计信号处理技术、网络协议以及线性和非线性优化技术,以开发分析性能分析工具,设计创新算法,并验证计算机仿真技术。该项目提供了一个培养本科生和研究生的机会,从而为能够为科学创新、创造力和生产力做出贡献的下一代科学家做出贡献。太赫兹(THz)波段的数据传输,即0. 1 THz至10 THz,拥有使用太赫兹频率下可用的宽带宽的潜力,以满足(下一个)第六代(6 G)的蜂窝通信。然而,太赫兹波段前所未有的多GHz带宽是以高传播损耗、阻塞效应、分子吸收以及对射频电子器件复杂设计的要求为代价的。因此,该项目描述了三个主要的研究方向,1)研究在太赫兹波段工作时基带信号处理的基本挑战,2)设计创新的,可解释的,可扩展的,低复杂性和鲁棒的算法和协议,同时利用机器和深度学习,3)在标准化的仿真平台中分析端到端系统性能。总体而言,该项目的目标是解决信号处理挑战,开发不同传播环境中THz频段的准确信道模型,以预测各种系统配置之间的信道行为。该奖项反映了NSF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。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Imtiaz Ahmed其他文献

Digital pathology for reporting histopathology samples, including cancer screening samples – definitive evidence from a multisite study
用于报告组织病理学样本(包括癌症筛查样本)的数字病理学——来自多中心研究的明确证据
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    A. Azam;Y. Tsang;Jenny Thirlwall;Peter K Kimani;Shatrughan Sah;K. Gopalakrishnan;Clinton Boyd;Maurice B Loughrey;Paul J Kelly;David P Boyle;Manuel Salto;David Clark;Ian O Ellis;Mohammad Ilyas;Emad A Rakha;Adam Bickers;Ian S D Roberts;Maria Fernanda Soares;Desley A H Neil;A. Takyi;Sinthuri Raveendran;E. Hero;H. Evans;Rania Osman;Khunsha Fatima;Rhian W Hughes;Stuart A McIntosh;Gordon W Moran;Jacobo Ortiz;N. Rajpoot;Ben Storey;Imtiaz Ahmed;Janet A. Dunn;L. Hiller;David R. J. Snead
  • 通讯作者:
    David R. J. Snead
Gemini-the most powerful LLM: Myth or Truth
双子座-最强大的LLM:神话还是真相
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Imtiaz Ahmed;Raisa Islam
  • 通讯作者:
    Raisa Islam
Comparative study of multiscale entropy analysis and symbolic time series analysis when applied to human gait dynamics
多尺度熵分析与符号时间序列分析应用于人体步态动力学的比较研究
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients
二元高斯 Copula 合成:一种新的数据增强技术,可推进基于 ML 的临床决策支持系统,以早期预测 CKD 患者的透析情况
  • DOI:
    10.48550/arxiv.2403.00965
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H. Khosravi;Srinjoy Das;Abdullah Al;Imtiaz Ahmed
  • 通讯作者:
    Imtiaz Ahmed
Exploring Hf-mediated surface engineering to enhance Cosub3/subOsub4/sub/Agsub2/subS core-shell nanorods as bifunctional electrocatalysts for water splitting reaction
探索铪(Hf)介导的表面工程以增强Co₃O₄/Ag₂S核壳纳米棒作为水分解反应的双功能电催化剂
  • DOI:
    10.1016/j.fuel.2025.134752
  • 发表时间:
    2025-07-15
  • 期刊:
  • 影响因子:
    7.500
  • 作者:
    Ritu Raj;Imtiaz Ahmed;Gajendra Prasad Singh;Krishna Kanta Haldar
  • 通讯作者:
    Krishna Kanta Haldar

Imtiaz Ahmed的其他文献

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{{ truncateString('Imtiaz Ahmed', 18)}}的其他基金

Excellence in Research/Collaborative Research: Modeling Transportation Choices Under the Presence of Real-time Information Using Simulated-based Virtual Experiments
卓越的研究/合作研究:使用基于模拟的虚拟实验在实时信息存在下对交通选择进行建模
  • 批准号:
    2200633
  • 财政年份:
    2022
  • 资助金额:
    $ 29.91万
  • 项目类别:
    Standard Grant
Collaborative Research: CISE-MSI: RCBP-RF: CNS: Enabling Secured and Artificial Intelligence Assisted Cell-Free Communications
合作研究:CISE-MSI:RCBP-RF:CNS:实现安全和人工智能辅助的无细胞通信
  • 批准号:
    2219657
  • 财政年份:
    2022
  • 资助金额:
    $ 29.91万
  • 项目类别:
    Standard Grant
Excellence in Research: Artificial Intelligence Aided Metasurface Design and Application in Next Generation of Cellular Communication Systems
卓越研究:人工智能辅助超表面设计及其在下一代蜂窝通信系统中的应用
  • 批准号:
    2200640
  • 财政年份:
    2022
  • 资助金额:
    $ 29.91万
  • 项目类别:
    Standard Grant

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