李俊伶

办公室：无线谷A1342

办公电话：+86-(0)25-52091635（转1342）

Email：junlingli@seu.edu.cn

学习经历：

2022年8月 – 至今bevictor伟德国际，bevictor伟德国际、移动通信国家重点实验室，副研究员

2020年5月 – 2022年8月深圳市人工智能与机器人研究院、滑铁卢大学、香港中文大学（深圳）：国际联合博士后（合作导师：沈学民教授，黄建伟教授）

2016年5月– 2020年5月加拿大滑铁卢大学，BBCR实验室，电子与计算机工程，博士

2013年9月– 2016年3月北京邮电大学，信息与通信工程，硕士

2009年9月– 2013年7月天津大学，电子信息工程，学士

项目经历:

1.国家自然科学基金青年基金项目，2024.01-2026.12，主持

2.国家自然科学基金重大项目课题，2024.01-2028.12，参与

3.中国科协青年托举项目，2025.01--2026.12，主持

4.中国科协科技智库青年人才计划课题，2023.06-2023.12，主持，【优秀结题】

5.国家重点研发计划项目课题,2023.12-2026.11, 参与

6.华为横向项目,2025.11-2026.11，主持

7.广东省青年基金项目,2021.10-2024.09, 主持

8.浙江大学国家重点实验室开放课题，2022.03-2022.12，主持;

9.深圳市人工智能与机器人研究院探索型焦点型项目,2021.04-2022.03, 主持;

教授课程：

1．B0413350-无线通信系统概论（全英文研讨）

2．B0413300-移动衰落信道建模（全英文研讨）

研究方向：

1.AI使能的6G无线信道测量与建模, 数字孪生在线信道建模

2.大模型赋能无线通信，生成式网络，智能网络通信

3.电磁信息论，可移动天线，通感一体化网络，空天地一体化网络

4.多智能体强化学习，图像处理，博弈论，软件定义网络（SDN）, 网络功能虚拟化（NFV）

学术兼职：

·入选第十届中国科协青年人才托举工程，中国科协科技智库青年人才，bevictor伟德国际紫金青年学者

·2023年入选bevictor伟德国际优秀本科生导师；2024年3S杯全国老员工物联网技术与应用“三创”大赛一等奖（指导教师）、2024年江苏老员工创新创业大赛高教主赛道一等奖（指导教师）、2024年、2025年“华为杯”无线通信算法菁英赛华东赛区二等奖（指导教师）、“兆易创新杯”研电赛全国二等奖（2025）、华东赛区一等奖（2025）、华东赛区二等奖（2024）、华东赛区三等奖（2023）（指导教师）。指导/联合指导3项国家级SRTP（一项优秀结题），3项省部级SRTP。

·IEEE   ICC’25最佳论文奖，IEEE ICCC’24 最佳DEMO奖，IEEE ICCT’23 最佳论文奖IEEE   ICCC’19 最佳论文奖。

·现任通信领域国际期刊Wireless Networks编委， IEEE TNSE 客座编委

·中国通信学会高级会员、中国电子学会通信分会青年委员。

·现/曾担任IEEE ICC'23, ICC'22, IPCCC'22,   IPCCC'21, ICC'21, ICNC'20, INFOCOM WKSHPS'22, ITC'34, ITC'33, VTC-Fall'20,   VTC-Spring'20 等多个国际会议程序委员会成员

·IEEE   JSAC，IEEE TWC, IEEE IOTJ, IEEE TII, IEEE   TNSE在内的十多个国际权威SCI期刊审稿人。

代表性学术成果：

学术论文：

1.J. Li, M. He, C. Zhou, X. Huang,   Z. Liu, L. Zhao, C.-X. Wang and H, Wu. “Integration of Generative AI and   Mobile Networking: A Comprehensive Survey”. in IEEE Trans. Netw. Sci. Eng.,   Accepted, 2025, doi: https://doi.org/10.1109/TNSE.2025.3639401.

2.J. Li, H. Zhang, S. Ke, J. Huang,   N. Chen and X. Shen, "Non-Cooperative Multi-Agent Reinforcement Learning   Exploiting Population Dynamics," in IEEE Trans. Netw. Sci. Eng., vol.   13, pp. 684-700, 2026.

3.J. Li, H. Wu, X. Huang, Q. Huang,   J. Huang, and X. Shen, “Towards Reinforcement-Learning-Based Intelligent   Network Control in 6G Networks,” IEEE Netw., vol. 37, no.4, pp. 104-111, 2023   [JCR Q1Top，影响因子：6.8]

4.J. Li, C.-X. Wang*, C Huang*, T.   Qian, T. Wu, “Digital twin online   channel modeling: Challenges, principles, and applications,” IEEE. Veh. Technol. Mag., vol. 20, no. 1, pp. 94-103,   March. 2025. [JCR Q1 ，影响因子：5.9]

5.C. Huang, C.-X. Wang*, Z. Li, Z. Qian, W. Zhou, J. Li*（通信作者）, and Y. Miao, “A frequency-domain predictive channel model for   6G wireless MIMO systems based on deep learning,” IEEE Trans. Commun., vol.   72, no. 8, pp. 4887-4902, Aug. 2024. [JCR Q1 ，影响因子：7.2]

6.X. Huang, Y. Tang, J. Li*(通信作者),   N. Zhang and X. Shen, "Toward Effective Retrieval Augmented Generative   Services in 6G Networks," in IEEE Network, vol. 38, no. 6, pp.   459-467, Nov. 2024. [JCR Q1 ，影响因子：6.8]

7.W. Zeng, H. Ji, R. Chen, X. Wu*, J. Li*, and C.-X. Wang*,   “An SDN-Enabled wireless HetNet emulator to analyze effectiveness of load   balancing algorithms,” IEEE Photonics Technol. Lett., early access. 2025,   doi: 10.1109/LPT.2025.3649635.

8.C. Huang, J. Hou, C. Wu, X. Cong, M, Zhou*, J. Li*(通信作者), D. Hong., "A General Cooperative Optimization Driven   High-Frequency Enhancement Framework for Multispectral Image Fusion,"   in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp.   1-14, 2025. [JCR Q1 ，影响因子：7.5]

9.J. Hou, X. Chen, C. Wu, M. Zhou, J. Li*(通讯作者) and D. Hong, "Bilateral   Adaptive Evolution Transformer for Multispectral Image Fusion," in IEEE   Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, 2025. [JCR   Q1 ，影响因子：7.5]

10.J. Li, W. Shi, H. Wu, S. Zhang, and X. Shen, “Cost-Aware Dynamic SFC   Mapping and Scheduling in SDN/NFV-Enabled Space-Air-Ground Integrated   Networks for Internet of Vehicles," IEEE Internet of Things Journal   (IOTJ), vol. 9, no. 8, pp. 5824-5838, Apr. 2022 [高被引论文，中科院分区1区Top，影响因子：9.936]

11.J. Li, W. Shi, Q. Ye, N. Zhang, W. Zhuang, and X. Shen, “Multi-SFC   Embedding with End-to-End Delay-Guarantee: A Game Theoretical Approach,"   IEEE Internet of Things Journal (IOTJ), vol. 8, no. 14, pp. 11219-11232, July   2021. [中科院分区1区Top，影响因子：9.936]

12.J. Li, W. Shi, P. Yang, Q. Ye, X. Shen, X. Li, and J. Rao, “A   Hierarchical Soft RAN Slicing Framework for Differentiated Service   Provisioning," IEEE Wireless Communications (WCM), vol. 27, no. 6, pp.   90-97, Dec. 2020. [中科院分区1区Top，影响因子：11.391]

13.J. Li, W. Shi, N. Zhang, and X. Shen, “Delay-Aware VNF Scheduling: A   Reinforcement Learning Approach with Variable Action Set," IEEE   Transactions on Cognitive Communications and Networking (TCCN), vol. 7, no.   1, pp. 304-318, Mar. 2021. [中科院分区2区，影响因子：4.574，入选TCCN Popular Articles]

14.J. Li, W. Shi, Q. Ye, S. Zhang, W. Zhuang, and X. Shen, “Joint Virtual   Network Topology Design and Embedding for Cybertwin-Enabled 6G Core   Networks," IEEE Internet of Things Journal (IOTJ), vol. 8, no. 22, pp.   16313-16325, Nov. 2021 [中科院分区1区Top，影响因子：9.936]

15.W. Shi, J. Li*(通讯作者), P. Yang, Q. Ye, W. Zhuang, X. Shen, and X. Li,   "Two-level Soft RAN Slicing for Customized Services in 5G-and-beyond   Wireless Communications," IEEE Transactions on Industrial Informatics   (TII), vol. 18, no. 6, pp.4169-4179, Jun. 2022 [中科院分区1区Top，影响因子：9.112]

16.W. Shi, J. Li*(通讯作者), H. Wu, C. Zhou, N. Cheng, and X. Shen, "Drone-cell   Trajectory Planning and Resource Allocation for Highly Mobile Networks: A   Hierarchical DRL Approach," IEEE Internet of Things Journal (IOTJ), vol.   8, no. 12, pp. 9800-9813, Jun. 2021. [中科院分区1区Top，影响因子：9.936]

17.H. Wu, J. Chen, C. Zhou,   J, Li*(通讯作者), and X. Shen,   "Learning-Based Joint Resource Slicing and Scheduling in   Space-Terrestrial Integrated Vehicular Networks," Journal of Communications   and Information Networks (JCIN), vol. 6, no. 3, pp. 208-223, Sep. 2021.

18.Y. Wu, C.-X.   Wang*, C. Huang*, J. Li, L. Zhang, e.-H. M.   Aggoune, and Y. Chen, “A novel LoS/NLoS identification-assisted positioning   method for 6G indoor MIMO communications,” IEEE Trans. Commun., accepted   for publication.  

19.T. Qi, C.-X. Wang*, C. Huang*, J. Shi, J. Li, S. Chen, and   e.-H. M. Aggoune, “A novel dynamic channel map based on a hybrid channel   model,” IEEE Trans. Veh. Technol., accepted for   publication.

20.C.-X.   Wang*, J. Li, J.   Huang, C. Huang, Z. Zhang, Y. Liu, S. Zhou, Y. Chen, X. You, X. Gao, T. Cui,   Marco Di Renzo, John Thompson, Harald Hass, and R. Zhang, “Modeling, capacity studies, antenna   and systemdesigns for 6G/B6G 3D continuous-space radio channels enabled by   electromagnetic information theory,” IEEE  Commun.   Surveys Tuts.,   early access, 2025, doi: 10.1109/COMST.2025.3562896.  

21.S. Chen,  C.-X. Wang*, J. Li,   C. Huang, H. Chang, Y. Huang, J. Huang, and Y. Chen, “Channel map-based angle   domain multiple access for cell-free massive MIMO communications,” IEEE J.   Sel. Top. Signal Process., vol. 19, no. 2, pp. 366-380, Mar.   2025.  

22.Z. Li, C.-X. Wang*, C. Huang*, J. Huang,   J. Li, W. Zhou, and Y. Chen, “A GAN-GRU based   space-time predictive channel model for 6G wireless communications,” IEEE Trans.   Veh. Technol.,  vol. 73, no. 7, pp. 9370-9386, July 2024.

23.S. Zhang, B. Luo, J. Li,   W. Shi, and X. Shen, "Hierarchical Soft Slicing to Meet   Multi-Dimensional QoS Demand in Cache-Enabled Vehicular Networks," IEEE   Transactions on Wireless Communications (TWC), vol. 19, no. 3, pp. 2150-2162,   Jan. 2020. [中科院分区1区Top，影响因子：6.779]

24.O. Alhussein, P. T. Do, Q.   Ye, J. Li, W. Shi, W. Zhuang, X. Shen, X. Li, and J. Rao, "A   Virtual Network Customization Framework for Multicast Services in 5G Core   Networks," IEEE Journal on Selected Areas in Communications (JSAC), vol.   38, no. 6, pp. 1025-1039, April. 2020. [中科院分区1区Top，影响因子：11.42]

25.W. Shi, J. Li, N.   Cheng, F. Lyu, S. Zhang, H. Zhou, and X. Shen, "Multi-Drone 3D   Trajectory Planning and Scheduling in Drone Assisted Radio Access   Networks," IEEE Transactions on Vehicular Technology (TVT), vol. 68, no.   8, pp. 8145-8158, Aug. 2019. [中科院分区2区Top，影响因子：5.379,   入选 IEEE Best Readings]

26.S. Zhang, W. Quan, J. Li,   W. Shi, P. Yang, and X. Shen, "Air-Ground Integrated Vehicular Network   Slicing with Content Pushing and Caching," IEEE Journal on Selected   Areas in Communications (JSAC), vol. 36, no. 9, pp. 2114-2127, Oct. 2018. [中科院分区1区Top，影响因子：11.42]

27.W. Shi, J. Li, W. Xu,   H. Zhou, N. Zhang, S. Zhang, and X. Shen "Multiple Drone-Cell Deployment   Analyses and Optimization in Drone Assisted Radio Access Networks," IEEE   Access (invited paper), vol. 6, pp. 12518-12529, 2018. [中科院分区2区，影响因子：3.745]

28.Q. Ye, J. Li, K. Qu,   W. Zhuang, X. Shen, X. Li, "End-to-End Quality of Service in 5G   Networks: Examining the Effectiveness of a Network Slicing Framework,"   IEEE Vehicular Technology Magazine (MVT), vol. 13, no. 2, pp. 65-74, 2018. [中科院分区2区，影响因子：7.921]

29.W. Shi, H. Zhou, J. Li,   W. Xu, N. Zhang, and X. Shen, "Drone Assisted Vehicular Networks:   Architecture, Challenges, and Opportunities," IEEE Network, vol. 32, no.   3, pp. 130-137, 2018. [中科院分区1区Top，影响因子：8.808,   入选IEEE Network Popular Articles]

30.Z Hu, D Wang, Z Li, J Li,   and Y Gao, "Delta compression optimization for UAV-enabled mobile edge   caching," IET Communications, vol. 14, no. 15, pp. 2500-2508, 2020.[中科院分区4区，影响因子:1.664]

31.M Chen, W Liu, N Zhang, J Li, Y Ren, M Yi, and A Liu, “GPDS: A multi-agent deep   reinforcement learning game for anti-jamming secure computing in MEC network”, Expert Systems with Applications , vol.210, pp.118394.2022

会议论文：

32.J. Hou, Q. Cao, R. Ran, C. Liu, J. Li*, L Deng*,   “Bidomain modeling paradigm for pansharpening,” in Proc. ACM MM’23, Ottawa,   Canada, Oct. 2023, 347-357. (CCF A类会议)

33.X. Liu, J. Hou, C. Wu, X. Cong, Z. Chen, S. Deng, J. Li,   L. Deng* and B. Liu*, ”Physics-informed Neural Operator for Pansharpening,”   in Proc. NeurIPS 2025, San Diego, USA, Dec 2025. (CCF A类会议)

34.J. Hou, R. Ran, S. Chen, Z. Chen, X. Cong, J. Li*, L.   Deng*, “NODiff: Neural Operator Diffusion for Multispectral Image Fusion” in   Proc. AAAI 2026, Singapore, Singapore, accepted for publication, 2026. (CCF A类会议)

35.M. Yao, X. Shangguan, S. Xiao, T. Qi, J. Li*, C. Huang,   and C.-X. Wang*, “An environment-aware digital-twin online channel modeling   platform for indoor scenarios,” in Proc. IEEE ICCT'25, Shenyang, China,   accepted for publication, 2025.第一标注

36.S. Xiao, C. Gu, J. Li*, J. Huang, and C.-X. Wang*, “A   stochastic framework for radio channel modeling incorporating random antenna   arrays,” in Proc. IEEE VTC'25-Spring, Oslo, Norway, June 2025.

37.T. Wu, C.-X. Wang*, J.   Li*, and C. Huang, “Machine learning-based predictive channel   modeling for 6G wireless communications using image semantic segmentation,”   in Proc. IEEE PIMRC’23, Toronto, Canada, Sept. 2023.

38.W. Jia, C. Zhu, S. Luo, J. Yang, J. Li*, and C.-X. Wang*,   “Swin transformer aided urban digital twin online channel modeling platform,”   in Proc. IEEE VTC'25-Fall, Chengdu, China, accepted for publication, 2025.

39.G. Su, J.   Li*, T. Wu, Y. Zhou, C. Huang, C.-X. Wang*, and F.-C.Zhen “A novel   scenario reconstruction method based on 3D point cloud data and RT channel   modeling for 6G indoor communications,” in Proc. IEEE VTC'25-Fall,   Chengdu, China, accepted for publication, 2025.

40.S. Xiao, C. Gu, J. Li*, J. Huang, and C.-X. Wang*,   “A stochastic framework for radio channel modeling incorporating random   antenna arrays,” in Proc. IEEE VTC'25-Spring, Oslo, Norway, June   2025.  

41.Y. Zhou, J. Li*, T. Wu, G. Su, C. Huang, and C.-X.   Wang*, “Efficient 3D electromagnetic   environment reconstruction with fused data for 6G digital twin online channel   modeling,” in Proc. IEEE   ICCT'24, Chengdu, China, Oct. 2024.  

42.L. Song, J. Li*, T. Wu, X. Chen, C. Huang, and C.-X.   Wang*, “6G dynamic channel map construction based on AI and image   processing,” in Proc. IEEE ICCT'24, Chengdu, China, Oct. 2024.    

43.S. Xiao, H. Zhang, M. Yao, C. Cui, J. Li*, C. Huang,   and C.-X. Wang*, “Demo: A novel 3D   environment-aware digital twin online channel modeling platform,”in Proc. IEEE/CIC ICCC'24, Hangzhou, China, Aug.   2024.  Best Demo Award

44.S. Ding, C. Huang*, C.-X. Wang*, J. Li, W. Zhou and   D. Zhao, “A Novel Scenario Segmentation-Identification Algorithm for 6G   Wireless Channel Modeling,” in Proc. IEEE ICCT'23, Wuxi, China, Oct.   2023, pp. 613-617. Best Paper Award

45.S. Chen, C.-X. Wang*, J. Li, C. Huang*, H. Chang,   and Y. Chen, “Improving cell-free massive MIMO through channel map-based   angle domain multiple access,”  in Proc. IEEE ICC'25, Montreal,   Canada, June 2025. Best Paper Award;

46.S. Ding, C. Huang*, C.-X. Wang*, Y. Zhen, J. Li, Z.   Xinag, and P. Zhao, “A novel adaptive scenario classification algorithm for   6G wireless communications,”  in Proc. IEEE ICC'25, Montreal,   Canada, 2025.  

47.Y. Wu, Y. Pan, J. Ji, C.-X. Wang*, J. Li, and   C. Huang*, “An improved Triplet-based channel   charting algorithm for positioning via covariance feature,”  in Proc. IEEE ICC'25, Montreal, Canada, 2025.    

48.Z. Qian, C. Huang*, C.-X. Wang*, J. Li, and W. Zhou,   “A novel intelligent scenario   identification algorithm and channel characteristics analysis for 6G urban   wireless communications,”  in Proc. IEEE   Globecom'24, Cape Town, South Africa, Dec. 2024.  

49.K. Zhang, C. Huang*, J. Li, Z. Qian, and C.-X.   Wang*, “An enhanced loss function for space-time domain predictive channel   model,” in Proc. IEEE ICCT'24, Chengdu, China, Oct. 2024.

50.T. Qi, C. Huang*, S. Yue, J. Li, S. Chen, and C.-X.   Wang*, “A novel dynamic channel map for 6G   MIMO communications,” in Proc. IEEE/CIC   ICCC'24, Hangzhou, China, Aug. 2024.  

51.H. Li, C. Huang*, C.-X. Wang*, and J. Li, “Scenario classification and channel   modeling for MIMO communications in dense urban street scenarios,” in Proc. EuCAP'24, Glasgow, Scotland, 17-22 March 2024.    

52.D. Zhao, C. Huang*, C.-X. Wang*, J. Li, Z. Qian, and   W. Zhou, “Channel characterization and   modeling for wireless MIMO communication systems in intersection scenarios,” in Proc. EuCAP'24, Glasgow, Scotland, 17-22 March 2024.    

53.D. Zhao, C. Huang*, C.-X. Wang*, and J. Li, “Scenario classification and channel   modeling for MIMO communications in suburban road scenarios,” in Proc. EuCAP'24, Glasgow, Scotland, 17-22 March 2024.    

54.Z. Li, C.-X. Wang*, C. Huang*, L. Yu, J. Li, and Z.   Qian, “A novel scatter density-based predictive channel model for 6G   communications,” in Proc. VTC'23-Spring, Florence, Italy, June 2023.    

55.J. Li, W. Shi, N. Zhang, and X. Shen, "Reinforcement Learning   Based VNF Scheduling with End-to-End Delay Guarantee," IEEE ICCC' 19 |   IEEE/CIC International Conference on Communications in China, Aug. 2019, pp.   572-577. (最佳论文奖)

56.J. Li, W. Shi, P. Yang, and X. Shen, "On Dynamic Mapping and   Scheduling of Service Function Chains in SDN/NFV-Enabled Networks," IEEE   GLOBECOM' 19 | IEEE Global Communications Conference, Dec. 2019. (CCF C类会议)

57.J. Li, W. Shi, Q. Ye, W. Zhuang, X. Shen, and X. Li, "Online   Joint VNF Chain Composition and Embedding for 5G networks," IEEE   GLOBECOM' 18 | IEEE Global Communications Conference, Abu Dhabi, UAE, Dec.   9-13, 2018. (CCF C类会议)

58.J. Li, N. Zhang, Q. Ye, W. Shi, W. Zhuang, and X. Shen, "Joint   Resource Allocation and Online Virtual Network Embedding for 5G   Networks," IEEE GLOBECOM' 17 | IEEE Global Communications Conference,   Singapore, Dec. 4-8, 2017. (CCF C类会议)

59.J. Li and D. Liu, "An Energy-Aware Distributed Clustering Routing   Protocol for Energy Harvesting Wireless Sensor Networks," IEEE ICCC'16,   Jul. 2016, pp. 1-6.

60.J. Li and D. Liu, "DPSO-based Clustering Routing Algorithm for   Energy Harvesting Wireless Sensor Networks," IEEE WCSP'15, Oct. 2015,   pp. 1-5.

61.W. Shi, J. Li, N.   Cheng, F. Lyu, Y. Dai, H. Zhou, and X. Shen, "3D Multi-Drone-Cell Trajectory   Design for Efficient IoT Data Collection," IEEE ICC' 19 | IEEE   International Conference on Communications, May 2019, pp. 1-6. (CCF C类会议)

62.O. Alhussein, T.P. Do, J.   Li, Q. Ye, W. Shi, W. Zhuang, X. Shen, X. Li, and J. Rao, "Joint VNF   Placement and Multicast Traffic Routing in 5G Core Networks," IEEE   GLOBECOM' 18| IEEE Global Communications Conference, Abu Dhabi, UAE, Dec.   9-13, 2018. (CCF C类会议)

63.W. Shi, J. Li, W. Xu,   H. Zhou, N. Zhang, and X. Shen, "3D Drone-cell Deployment Optimization   for Drone Assisted Radio Access Networks," IEEE ICCC'17, Oct. 2017, pp.   1-6.

64.N. Chen, M. Li, M. Wang, Z.   Su, J. Li, and X. Shen, "A Dynamic Pricing Based Scheduling   Scheme for Electric Vehicles as Mobile Energy Storages", IEEE ICC'21,   Jun. 2021. (CCF C类会议)

65.Q Huang, Y Liu, P Sun, J. Li, and J Xu, “Cooperative Carbon Emission   Trading: A Coalitional Game Approach”   IEEE SmartGridComm’22. 2022. (CCF C类会议)

书籍章节：

[U1] J. Li, W. Shi, and N. Zhang,   "Resource Allocation in SDN/NFV-Enabled 5G Networks," Encyclopedia   of Wireless Networks, Springer, published, 2019.

[U2] J. Li and W. Shi,   "Cooperative Cognitive Radio Networks," Encyclopedia of Wireless   Networks, Springer, published, 2019.

[U3] W. Shi, J. Li, and N. Zhang,   "Resource Allocation in UAV-Aided Wireless Networks," Encyclopedia   of Wireless Networks, Springer, published, 2019.

授权专利：

1. 王承祥，武阳，王樱华，黄晨，李俊伶，杨松江. 适用于6G室内通信的视距/非视距识别辅助定位方法. 专利申请号：202411330758.1，申请日期：2024.09.24专利公开号:   CN119224686A，授权公告号：CN119224686B，授权日期：2025.09.12.  

2. 王承祥，周勇杉，李俊伶，吴彤，宿国纲，黄晨. 一种基于多源数据的无线信道三维电磁环境重构方法. 专利申请号：202411552275.6,   申请日期：2024.11.01   专利公开号: CN   119649226 A，授权公告号： CN   119649226 B，授权日期：2025.11.25.  

3. 王承祥，宿国纲，李俊伶，吴彤，周勇杉，黄晨. 基于激光雷达感知重构的室内场景无线信道建模方法. 专利申请号：202411710945.2,   申请日期：2024.11.27   专利公开号: CN   119853833 A，授权公告号： CN   119853833 B，授权日期：2025.12.02。

4. 王承祥，宋理想，李俊伶，吴彤，陈孝钰，黄晨. 一种基于机器学习和图像处理的6G动态信道地图构建方法. 专利申请号：202411617556.5，申请日期：2024.11.13   专利公开号：CN   119649633 A，授权公告号： CN   119649633 B，授权日期：2025.11.07

5. 李俊伶，刘丹谱，尹长川，罗涛，郝建军，郭一珺，一种能量感知型分布式分簇路由协议设计方法”，授权号：No.   CN105472690B。

6. 李俊伶; 柯舒麒; 黄建伟, “一种基于群体博弈的多智能体交互方法及系统”,   2022-2-25, CN202210181564.4.

IMT2030提案

1.王承祥，杨松江，王樱华，黄杰，李俊伶，黄晨. 一种向低轨卫星通信的射线追踪信道建模方法，202405024，IMT-2030无线技术工作组第6次会议，2024.05..

2.王承祥，武阳，黄晨，李俊伶，王樱华. 适用于6G室内MIMO通信的加权随机森林定位方法，202403020，IMT-2030无线技术工作组第5次会议，2024.03.

3.王承祥，吴彤，李俊伶，黄晨，王樱华. 基于图像处理和机器学习的信道预测方法，202403019，IMT-2030无线技术工作组第5次会议，2024.03.

4.王承祥，黄晨，钱中玉，李俊伶，周文奇. 场景自适应信道模型，202310024，IMT-2030无线技术工作组第5次会议，2023.10.22.

5.王承祥，李哲鳌，黄晨，李俊伶. 6G空时预测信道建模研究，IMT-2030(6G)推进组-无线AI任务组第1次会议，2023.04.28.

6.王承祥，齐天润，黄晨，李俊伶，吴希平. 基于混合信道模型的动态信道地图构建方法，202511010，IMT-2030无线技术工作组第9次会议，2025.11.

7.王承祥，李俊伶，张惟天，黄晨.   一种   6G数字孪生在线信道建模方法，202511011，IMT-2030无线技术工作组第9次会议，2025.11

欢迎对信道测量与建模、机器学习、深度学习、博弈论、数字孪生等方向感兴趣的本科同学加入课题组进行科研训练和毕业设计！课题组常年招收本科生SRTP训练、硕士、博士研究生，欢迎报考，并提供机会至国外知名大学交流访问！