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Algorithms and Implementations for OFDM Based Wireless LAN

Algorithms and Implementations for OFDM Based Wireless LAN
基于 OFDM 的无线局域网算法和实现
批准号:
0097114
负责人:
Jian Li
金额:
$44.38万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-04-01 至 2005-03-31

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中文摘要
翻译
与有线局域网相比,无线局域网具有成本低廉的网络重构和用户移动性等优点。然而,由于数据速率低和数据速率的不确定性,无线局域网目前仅限于小众应用。用户对具有更高数据速率和国际可用性的无线局域网有着巨大的需求。这项研究解决了满足用户需求的挑战。本研究将理论算法开发与硬件实时实现相结合。它促进了佛罗里达大学和当地工业的研究人员之间的多学科研究和发展,以及向当地工业的技术转让。研究的主要目标是开发和应用高效、鲁棒的参数估计和符号检测算法及其在高数据速率无线局域网中的实时实现。研究人员设计并评估了基于正交频分复用(OFDM)的无线局域网的有效和鲁棒的参数估计和符号检测算法,该无线局域网具有一个或多个发射和接收天线,适用于固定和快速时变信道。最有效的算法在硬件上实时高效地实现。研究人员研究了有效性、简单性、计算复杂性和实时的实际硬件实现之间的权衡。
英文摘要
Wireless local area networks (WLANs) have the advantages of inexpensive network reconfigurationand user mobility over wired local area networks. However, WLANs are so far limited to niche applications due to their low data rate and data rate uncertainty. There is a tremendous user demand for WLANs with higher data rates and international availability. This research addresses the challenges of meeting the user demand. This research combines theoretical algorithm development with real-time implementation in hardware. It fosters multidisciplinary research and development among researchers at the Universityof Florida and the local industry as well as the technology transfer to the local industry.The main objective of the research is the development and application of efficient and robust parameter estimation and symbol detection algorithms and their real time implementations for high data rate WLANs. The investigators devise and evaluate efficient and robust parameter estimation and symbol detection algorithms for Orthogonal Frequency Division Multiplexing (OFDM) based WLANs with one or more transmitand receive antennas for both stationary and rapidly time-varying channels. The most effective algorithms are implemented efficiently in hardware in real time. The investigators study the tradeoffs of effectiveness, simplicity, computational complexity, and practical hardware implementation in real time.
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Collaborative Research: SaTC: CORE: Small: Critical Learning Periods Augmented Robust Federated Learning
  • 批准号:
    2315614
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.0万
  • 财政年份:
    2023
  • 负责人:
    Jian Li
  • 依托单位:
CRII: CNS: NeTS: Adaptive Cache Dimensioning in Cloud CDNs: Foundations and Practice
  • 批准号:
    2104880
  • 项目类别:
    Standard Grant
  • 资助金额:
    $17.5万
  • 财政年份:
    2021
  • 负责人:
    Jian Li
  • 依托单位:
Enhanced Automotive Radar Coexistence and Performance
  • 批准号:
    1708509
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2017
  • 负责人:
    Jian Li
  • 依托单位:
CIF: Medium: Collaborative Research: Low-Resolution Sampling with Generalized Thresholds
  • 批准号:
    1704240
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2017
  • 负责人:
    Jian Li
  • 依托单位:
海外基金