6G关键技术研发竞争格局与应对策略

2023年第25卷第6期

摘要

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《中国工程科学》 >> 2023年第25卷第6期 doi: 10.15302/J-SSCAE-2023.06.002

6G关键技术研发竞争格局与应对策略

1. 深圳市大数据研究院，广东深圳 518172；

2. 香港中文大学（深圳）理工学院，广东深圳 518172；

3. 同济大学软件学院，上海 200092；

4. 鹏城实验室战略与交叉前沿研究部，广东深圳 518055

资助项目：中国工程院咨询项目“6G带动数字经济双循环发展战略研究”(2022-XBZD-03) 收稿日期： 2023-08-03 修回日期： 2023-11-28 发布日期： 2023-12-21

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摘要

数字经济作为新的经济形态成为推动经济增长的重要驱动力，第六代移动通信（6G）与数字经济之间存在着互促和依存的关系，相应关键技术研发价值重大且国际竞争格局激烈。本文从无线技术、网络技术、安全技术3 个维度出发，系统梳理了6G关键技术研发的原理和发展现状，评估了我国在这些关键技术方向上的全球竞争力；具体技术方向包括无线人工智能技术、超大规模天线技术、太赫兹通信、智能反射面、通信感知一体化，分布式网络技术、“空天地”一体化组网技术、内生智能网络技术、算力网络技术，物理层安全技术、网络层安全技术、数据安全及隐私保护技术。研究建议，加速6G无线、网络、安全等核心技术产业化，以6G网络能力跨越式发展来服务未来业务需求；注重创新保障、产业支撑、扩大内需、人才保障，支持创新生态构建，形成6G产业发展保障支撑；与全球通信产业开展密切合作，积极参与6G国际标准制定，共同推动6G技术产业化。

关键词

第六代移动通信 ; 数字经济 ; 无线技术 ; 网络技术 ; 安全技术

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参考文献

[ 1 ] 中国信息通信研究院. 中国5G发展和经济社会影响白皮书(2022年) [EB/OL]. [2023-07-15]. http://www.caict.ac.cn/kxyj/qwfb/bps/202301/P020230316604298102966.pdf.
China Academy of Information and Communications Technology. China´s white paper on 5G development and economic and social impact (2022) [EB/OL]. [2023-07-15]. http://www.caict.ac.cn/kxyj/qwfb/bps/202301/P020230316604298102966.pdf.

[ 2 ] IMT Vision—Framework and overall objectives of the future development of IMT for 2020 and beyond [EB/OL]. (2015-09-15)[2023-07-15]. https://www.itu.int/dms_pubrec/itu-r/rec/m/R-REC-M.2083-0-201509-I!!PDF-E.pdf.

[ 3 ] From cloud AI to network AI: A view from 6GANA [EB/OL]. (2021-05-31)[2023-07-15]. http://6g-ana.com/upload/file/20210619/6375969458505193666851527.pdf.

[ 4 ] 6G drivers and vision v1.0 [EB/OL]. (2021-04-19)[2023-07-15]. https://www.ngmn.org/wp-content/uploads/NGMN-6G-Drivers-and-Vision-V1.0_final_New.pdf.

[ 5 ] Saad W, Bennis M, Chen M Z. A vision of 6G wireless systems: Applications, trends, technologies, and open research problems [J]. IEEE Network, 2020, 34(3): 134‒142.

[ 6 ] Zhang Z Q, Xiao Y, Ma Z, et al. 6G wireless networks: Vision, requirements, architecture, and key technologies [J]. IEEE Vehicular Technology Magazine, 2019, 14(3): 28‒41.

[ 7 ] 张海君, 陈安琪, 李亚博, 等. 6G移动网络关键技术 [J]. 通信学报, 2022, 43(7): 189‒202.
Zhang H J, Chen A Q, Li Y B, et al. Key technologies of 6G mobile network [J]. Journal on Communications, 2022, 43(7): 189‒202.

[ 8 ] Shen X M, Gao J, Wu W, et al. Holistic network virtualization and pervasive network intelligence for 6G [J]. IEEE Communications Surveys & Tutorials, 2022, 24(1): 1‒30.

[ 9 ] Faisal A, Sarieddeen H, Dahrouj H, et al. Ultramassive MIMO systems at terahertz bands: Prospects and challenges [J]. IEEE Vehicular Technology Magazine, 2020, 15(4): 33‒42.

[10] Wu Q Q, Zhang R. Intelligent reflecting surface enhanced wireless network: Joint active and passive beamforming design [C]. Abu Dhabi: 2018 IEEE Global Communications Conference (GLOBECOM), 2018.

[11] Liu F, Cui Y H, Masouros C, et al. Integrated sensing and communications: Toward dual-functional wireless networks for 6G and beyond [J]. IEEE Journal on Selected Areas in Communications, 2022, 40(6): 1728‒1767.

[12] IMT‒2030 (6G)推进组. 6G网络架构愿景与关键技术展望白皮书 [R]. 北京: IMT‒2030 (6G)推进组, 2021.
IMT‒2030 (6G) Promotion Group. 6G network architecture vision and key technology outlook white paper [R]. Beijing: IMT‒2030 (6G) Promotion Group, 2021.

[13] Hoydis J, Aoudia F A, Valcarce A, et al. Toward a 6G AI-native air interface [J]. IEEE Communications Magazine, 2021, 59(5): 76‒81.

[14] 中国移动研究院. 6G无线内生AI架构与技术白皮书 (2022) [R]. 北京: 中国移动研究院, 2022.
China Mobile Research Institute. 6G native AI architecture and technologies white paper (2022) [R]. Beijing: China Mobile Research Institute, 2022.

[15] Letaief K B, Chen W, Shi Y M, et al. The roadmap to 6G: AI empowered wireless networks [J]. IEEE Communications Magazine, 2019, 57(8): 84‒90.

[16] Ylianttila M, Kantola R, Gurtov A, et al. 6G white paper: Research challenges for trust, security and privacy [EB/OL]. (2020-04-24)[2023-07-15]. https://arxiv.org/abs/2004.11665.pdf.

[17] Arfaoui M A, Soltani M D, Tavakkolnia I, et al. Physical layer security for visible light communication systems: A survey [J]. IEEE Communications Surveys & Tutorials, 2020, 22(3): 1887‒1908.

[18] IMT‒2030 (6G)推进组. 智能超表面技术研究报告 [R]. 北京: IMT‒2030 (6G)推进组, 2021.
IMT‒2023 (6G) Promotion Group. Reconfigurable intelligent surface technology research report [R]. Beijing: IMT‒2030 (6G) Promotion Group, 2021.

[19] 迟楠, 贾俊连. 面向6G的可见光通信 [J]. 中兴通讯技术, 2020, 26(2): 11‒19.
Chi N, Jia J L. Visible light communication towards 6G [J]. ZTE Technology Journal, 2020, 26(2): 11‒19.

[20] IMT‒2030 (6G)推进组. 太赫兹技术通信研究报告 [R]. 北京: IMT‒2030 (6G)推进组, 2021.
IMT‒2030 (6G) Propulsion Group. Terahertz technology communications research report [R]. Beijing: IMT‒2030 (6G) Promotion Group, 2021.

[21] 谢莎, 李浩然, 李玲香, 等. 太赫兹通信技术综述 [J]. 通信学报, 2020, 41(5): 168‒186.
Xie S, Li H R, Li L X, et al. Survey of terahertz communication technology [J]. Journal on Communications, 2020, 41(5): 168‒186.

[23] Peng M G, Li Y, Jiang J M, et al. Heterogeneous cloud radio access networks: A new perspective for enhancing spectral and energy efficiencies [J]. IEEE Wireless Communications, 2014, 21(6): 126‒135.

[22] Liu Y, Wang H S, Peng M G, et al. DeePGA: A privacy-preserving data aggregation game in crowdsensing via deep reinforcement learning [J]. IEEE Internet of Things Journal, 2020, 7(5): 4113‒4127.

[24] 彭木根, 艾元. 异构云无线接入网络: 原理、架构、技术和挑战 [J]. 电信科学, 2015, 31(5): 47‒51.
Peng M G, Ai Y. Heterogeneous cloud radio access networks: Principle, architecture, techniques and challenges [J]. Telecommunications Science, 2015, 31(5): 47‒51.