Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Dual-FBG Sensor with Machine Learning for Microstrain-Temperature Decoupling Under Cyanoacrylate Bonding Toward Catheter Applications.

Micromachines·2026
Same author

Pulmonary Infarction Secondary to Prostatitis-induced Venous Thromboembolism Mimicking Lobar Pneumonia in a Young Patient: A Diagnostic Pitfall.

Internal medicine (Tokyo, Japan)·2026
Same author

Development of a monoclonal antibody-based approach for selective enrichment of target <i>Bifidobacterium longum</i> from a complex fecal community.

Gut microbes reports·2026
Same author

Clinical practice guideline for pediatric IgA vasculitis in Japan 2023: a digest-secondary publication.

Clinical and experimental nephrology·2026
Same author

Dual-positive anti-aminoacyl-tRNA synthetase and anti-melanoma differentiation-associated gene 5 antibody-related rapidly progressive interstitial lung disease in a patient with severe coronavirus disease 2019 complicated by probable pulmonary aspergillosis and pneumothorax: a case report.

BMC pulmonary medicine·2026
Same author

Peripheral blood UBA1 variant burden predicts poor outcomes in VEXAS syndrome: a nationwide prospective study.

Annals of the rheumatic diseases·2026

相关实验视频

Updated: Jul 4, 2025

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

8.0K

在光二极管集成阵列天线模块中的基于强化学习的自适应光束对齐.

Jyun-Wei Li, Yu-Chieh Teng, Shinji Nimura

    Optics letters
    |February 1, 2024
    PubMed
    概括
    此摘要是机器生成的。

    我们开发了一个智能自适应光束对齐系统,使用强化学习 (RL) 来进行毫米波 (MMW) 通信. 该系统优化了天线阶段,以获得优质的信号质量,满足3GPP标准.

    更多相关视频

    Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
    05:04

    Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

    Published on: June 13, 2023

    1.5K
    X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
    00:10

    X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

    Published on: August 20, 2019

    13.8K

    相关实验视频

    Last Updated: Jul 4, 2025

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
    05:57

    Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

    Published on: April 1, 2020

    8.0K
    Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
    05:04

    Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays

    Published on: June 13, 2023

    1.5K
    X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
    00:10

    X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

    Published on: August 20, 2019

    13.8K

    科学领域:

    • 无线通信无线通信
    • 天线技术天线技术
    • 人工智能的人工智能

    背景情况:

    • 毫米波 (MMW) 通信系统需要精确的光束对齐以获得最佳性能.
    • 传统的光束对齐方法可能是复杂和耗时的.
    • 适应性天线系统对于动态无线环境至关重要.

    研究的目的:

    • 通过强化学习 (RL) 演示智能自适应光束对齐方案.
    • 集成RL与8x8光子阵列天线用于MMW应用程序.
    • 为了自主优化光束对齐以提高信号质量.

    主要方法:

    • 使用强化学习 (RL) 算法与 Q-table 进行决策.
    • 代表的RL状态是阶段值,动作是阶段变化,奖励是错误向量大小 (EVM).
    • 整合了RL方案与40 GHz光子阵列天线.

    主要成果:

    • 该RL方案自主实现了最佳EVM性能的最佳阶段.
    • 在单个和多个用户场景中成功展示了光束对齐.
    • 实验结果始终符合64-QAM OFDM的第三代伙伴关系项目 (3GPP) 标准.

    结论:

    • 拟议的智能自适应光束对齐方案有效优化了MMW通信.
    • 强化学习提供了一种自主和高效的光束对齐方法.
    • 该系统确保可靠的信号质量,符合严格的行业标准.