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面向6G多维扩展的新型多址接入技术综述

逄小玮 蒋旭 卢华兵 赵楠

逄小玮, 蒋旭, 卢华兵, 赵楠. 面向6G多维扩展的新型多址接入技术综述[J]. 电子与信息学报, 2024, 46(6): 2323-2334. doi: 10.11999/JEIT231265
引用本文: 逄小玮, 蒋旭, 卢华兵, 赵楠. 面向6G多维扩展的新型多址接入技术综述[J]. 电子与信息学报, 2024, 46(6): 2323-2334. doi: 10.11999/JEIT231265
PANG Xiaowei, JIANG Xu, LU Huabing, ZHAO Nan. An Overview of Novel Multi-access Techniques for Multi-dimensional Expanded 6G[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2323-2334. doi: 10.11999/JEIT231265
Citation: PANG Xiaowei, JIANG Xu, LU Huabing, ZHAO Nan. An Overview of Novel Multi-access Techniques for Multi-dimensional Expanded 6G[J]. Journal of Electronics & Information Technology, 2024, 46(6): 2323-2334. doi: 10.11999/JEIT231265

面向6G多维扩展的新型多址接入技术综述

doi: 10.11999/JEIT231265
基金项目: 国家重点研发计划(2020YFB1807002),国家自然科学基金 (62101091, 62371087),辽宁省应用基础研究计划(2023TH2/101300197)
详细信息
    作者简介:

    逄小玮:女,博士生,研究方向为无人机通信、智能反射面、非正交多址接入、通感一体化

    蒋旭:男,副教授,研究方向为通感一体化、无人机通信、隐蔽通信

    卢华兵:男,助理研究员,研究方向为通感一体化、无人机通信、物理层安全

    赵楠:男,教授,博士生导师,研究方向为通感一体化、无人机通信、非正交多址接入、干扰管理、绿色通信

    通讯作者:

    赵楠 zhaonan@dlut.edu.cn

  • 中图分类号: TN915

An Overview of Novel Multi-access Techniques for Multi-dimensional Expanded 6G

Funds: The National Key R&D Program of China (2020YFB1807002), The National Natural Science Foundation of China (62101091,62371087), Application and Fundamental Research Planning Project in Liaoning Province (2023TH2/101300197)
  • 摘要: 随着移动通信技术的不断演进,第6代移动通信(6G)将实现从万物互联到万物智联的跨越,满足更高的数据需求和更广泛的应用场景。新型多址接入技术和多维扩展技术将在6G中协同发挥作用,为构建高效、智能、可靠的通信网络提供关键支持,满足未来通信的多重需求。该文旨在探讨新型多址接入技术在6G多维扩展通信网络中的应用潜力。首先,该文对比了传统多址接入技术与6G潜在新型多址接入技术,并重点阐述了非正交多址接入技术在提升频谱效率和系统容量方面的优势。然后,详细介绍了卫星通信、无人机(UAV)通信和智能反射面(IRS)等多维扩展技术在6G场景下的优势。进一步,讨论了新型多址技术与卫星通信、UAV以及IRS相结合的优势及协同应用。最后,探讨了基于新型多址接入技术的多维扩展网络中的关键技术挑战,包括大规模多入多出技术、太赫兹技术、通感算一体化、用户信息安全、不完美信道状态信息(CSI)估计,同时对新型编码技术、人工智能和机器学习等研究方向进行了展望。
  • 图  1  正交与非正交多址接入方式资源利用图

    图  2  空天地一体化网络架构

    图  3  基于新型多址技术的卫星通信网络

    图  4  基于NOMA的UAV下/上行通信场景

    图  5  基于NOMA的IRS辅助网络场景

    表  1  6G多维扩展网络中新型多址接入技术研究总结

    参考文献多址接入技术多维扩展技术研究场景主要研究目的
    [35]NOMA低轨卫星物联网大规模接入最小化网络总功耗
    [36]NOMA卫星,UAV空天地一体化中继最大化无人机能效
    [37]合作式NOMAUAV蜂窝连接UAV最大化上行加权和速率
    [38]RSMAUAVUAV服务地面用户最大化用户加权和速率
    [39]
    [40]
    NOMA
    NOMA
    UAV, IRS
    UAV, 可同时反射和透射的智能表面
    移动边缘计算
    室内外全覆盖
    最大化无人机计算能力
    最大化网络和速率
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-11-15
  • 修回日期:  2024-01-20
  • 网络出版日期:  2024-02-21
  • 刊出日期:  2024-06-30

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