Digital Twin Enabled 6G Radio Testing: Concepts, Challenges and Solutions

被引:0
|
作者
Gao, Huaqiang [1 ]
Kyosti, Pekka [2 ,3 ]
Zhang, Xiang [4 ]
Fan, Wei [3 ,5 ]
机构
[1] Xi An Jiao Tong Univ, Xian, Peoples R China
[2] Keysight Technol, Oulu, Finland
[3] Univ Oulu, Oulu, Finland
[4] China Acad Informat & Commun Technol, Haidian, Peoples R China
[5] Southeast Univ, Nanjing, Peoples R China
关键词
6G mobile communication; Wireless communication; Costs; Emulation; Digital twins; Recording; Testing;
D O I
10.1109/MCOM.001.2200860E
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The sixth-generation (6G) mobile communication is envisioned to be an all connected radio system, which covers the vertical expansion from ground-based networks to spaceborne networks, and the horizontal expansion from ultra-short range to ultra-long range communications. As a result, the number of radio devices and associated test cases and scenarios will grow exponentially, making field trials (i.e., testing in real deployment scenarios) unfeasible due to the cost and time concerns. A digital twin (DT) concept can be adopted to reproduce the field trials, enabling 6G radio testing and development in controllable and repeatable laboratory conditions where the radio devices and network should operate as if they would in real-world conditions. This article investigates DT-enabled 6G radio testing. First, the concept of DT for radio testing is introduced, including information on how DT can capture the radio environment with unique propagation features. Next, three state-of-the-art emulation setups of DT for radio testing are explained. The article also covers challenges introduced by new 6G radio technologies for the DT-enabled 6G radio testing, including potential solutions to tackle those challenges.
引用
收藏
页码:92 / 94
页数:3
相关论文
共 50 条
  • [1] Digital Twin Enabled 6G Radio Testing: Concepts, Challenges and Solutions
    Gao, Huaqiang
    Kyosti, Pekka
    Zhang, Xiang
    Fan, Wei
    IEEE COMMUNICATIONS MAGAZINE, 2023, 61 (11) : 88 - 94
  • [2] Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications
    Wang, Heng
    Zhang, Jianhua
    Nie, Gaofeng
    Yu, Li
    Yuan, Zhiqiang
    Li, Tongjie
    Wang, Jialin
    Liu, Guangyi
    IEEE COMMUNICATIONS MAGAZINE, 2025, 63 (03) : 24 - 30
  • [3] Radio Environment Knowledge Pool for 6G Digital Twin Channel
    Wang, Jialin
    Zhang, Jianhua
    Zhang, Yuxiang
    Sun, Yutong
    Nie, Gaofeng
    Shi, Lianzheng
    Zhang, Ping
    Liu, Guangyi
    IEEE COMMUNICATIONS MAGAZINE, 2025,
  • [4] 6G Radio Channel Sounding: Challenges and Potential Solutions
    Fan, Wei
    Sun, Hao
    Lyu, Yejian
    Zhang, Xiang
    Borrill, Jonathan
    Zhang, Jianhua
    Derat, Benoit
    Zhang, Fengchun
    IEEE WIRELESS COMMUNICATIONS, 2025, 32 (01) : 100 - 106
  • [5] Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead
    Masaracchia, Antonino
    Sharma, Vishal
    Canberk, Berk
    Dobre, Octavia A.
    Duong, Trung Q.
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2022, 3 : 2137 - 2150
  • [6] When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
    Liu, Wenshuai
    Fu, Yaru
    Shi, Zheng
    Wang, Hong
    IEEE COMMUNICATIONS MAGAZINE, 2025, 63 (03) : 16 - 22
  • [7] Convergence of Digital Twin and 6G enabled Edge Intelligence: Theories, Algorithms and Applications
    Wu, Yuan
    Chen, Xu
    Lyu, Feng
    Chen, Xianfu
    Huang, Xumin
    Gao, Jie
    Dai, Yueyue
    Quek, Tony Q. S.
    Zhang, Yan
    CHINA COMMUNICATIONS, 2023, 20 (02) : III - VI
  • [8] Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions
    Khan, Latif U.
    Saad, Walid
    Niyato, Dusit
    Han, Zhu
    Hong, Choong Seon
    IEEE COMMUNICATIONS MAGAZINE, 2022, 60 (01) : 74 - 80
  • [9] Intelligent Computation Offloading Based on Digital Twin-Enabled 6G Industrial IoT
    Wu, Jingjing
    Zuo, Ruiyong
    APPLIED SCIENCES-BASEL, 2024, 14 (03):
  • [10] Digital Twin Satellite Networks Toward 6G: Motivations, Challenges, and Future Perspectives
    Mao, Bomin
    Zhou, Xueming
    Liu, Jiajia
    Kato, Nei
    IEEE NETWORK, 2024, 38 (01): : 54 - 60