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6G无线多模态通信技术

任超 丁思颖 张晓奇 张海君

任超, 丁思颖, 张晓奇, 张海君. 6G无线多模态通信技术[J]. 电子与信息学报, 2024, 46(5): 1658-1671. doi: 10.11999/JEIT231201
引用本文: 任超, 丁思颖, 张晓奇, 张海君. 6G无线多模态通信技术[J]. 电子与信息学报, 2024, 46(5): 1658-1671. doi: 10.11999/JEIT231201
REN Chao, DING Siying, ZHANG Xiaoqi, ZHANG Haijun. Wireless Multimodal Communications for 6G[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1658-1671. doi: 10.11999/JEIT231201
Citation: REN Chao, DING Siying, ZHANG Xiaoqi, ZHANG Haijun. Wireless Multimodal Communications for 6G[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1658-1671. doi: 10.11999/JEIT231201

6G无线多模态通信技术

doi: 10.11999/JEIT231201
基金项目: 国家自然科学基金(62201034, U22B2003, 62341103),北京市自然科学基金(L212004, L212004-03)
详细信息
    作者简介:

    任超:男,讲师,研究方向为协作无线通信、空天地一体化通信、边缘计算和通感算一体化通信技术

    丁思颖:女,本科生,研究方向为智能通信技术

    张晓奇:女,博士生,研究方向为6G移动通信和人工智能技术

    张海君:男,教授,研究方向为6G移动通信、B5G行业应用、NTN网络、数字孪生和人工智能

    通讯作者:

    张海君 haijunzhang@ieee.org

  • 中图分类号: TN92

Wireless Multimodal Communications for 6G

Funds: The National Natural Science Foundation of China (62201034, U22B2003, 62341103), Beijing Municipal Natural Science Foundation (L212004-03, L212004)
  • 摘要: 该文综述了多模态通信作为一种能够同时交互多种模态形式的信息转移方式在不同应用场景下的重要性及其未来在6G无线通信技术中的发展前景。首先,将多模态通信分为3类,并探讨了其在这些领域中的关键作用。随后,针对6G无线通信系统可能面临的通信、感知、计算和存储资源限制以及跨域资源管理问题进行了深入剖析,指出未来的6G无线多模态通信将实现通感算存的深度融合和通信能力的提升。在多模态通信实现过程中,必须考虑多个环节,包括多发送端处理、传输技术和接收端处理等,以解决多模态语料库构建、多模态信息压缩、传输、干扰处理、降噪、对齐、融合和扩充等方面的挑战,以及资源管理问题。最后,强调了6G网络的跨域多模态信息转移、互补和协同的重要性,这将更好地整合和应用海量异构信息,以满足未来高速、低延迟、智能互联的通信需求。
  • 图  1  多模态通信分类

    图  2  多模态通信系统的使能技术

    图  3  跨模态通信技术

    图  4  多模态通信接收端技术

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出版历程
  • 收稿日期:  2023-11-01
  • 修回日期:  2024-03-01
  • 网络出版日期:  2024-03-11
  • 刊出日期:  2024-05-30

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