Ziwei Huang
黄子蔚

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I received the Ph.D. degree in Information and Communication Engineering from Peking University, Beijing, China, in 2024. I am currently a Boya Postdoctoral Fellow at Peking University. My general research interests are in areas of wireless communications and artificial intelligence, subject on which I was published more than 30 journal and conference papers, 2 books, and holds 2 patents. I was a recipient of the China National Postdoctoral Program for Innovative Talents. I was a co-recipient of the IET Communications Best Paper Award: Premium Award and was honored with the Doctoral Dissertation Incentive Program by the China Institute of Communications (CIC). I am a group member of Pervasive Connectivity and Networked Intelligence (PCNI). My Google Scholar link is here.

Research Interests

Education

Publications

Books

  1. X. Cheng, Ziwei Huang, and L. Bai, Channel Characterization and Modeling for Vehicular Communications, Springer, Cham, Switzerland, 2023.
  2. L. Bai, Ziwei Huang, and X. Cheng, Propagation Characterization and Channel Modeling for UAV Communications, Springer, Cham, Switzerland, 2024.

Journal Papers

  1. Ziwei Huang, L. Bai, M. Sun, and X. Cheng, “A LiDAR-aided channel model for vehicular intelligent sensing-communication integration,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 12, pp. 20105-20119, Dec. 2024. (SCI，JCR Q1, IF: 7.9)
  2. Ziwei Huang, L. Bai, M. Sun, X. Cheng, P. E. Mogensen, and X. Cai, “A mixed-bouncing based non-stationarity and consistency 6G V2V channel model with continuously arbitrary trajectory,’’ IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 1634-1650, Feb. 2024. (SCI, JCR Q1, IF: 8.9)
  3. Ziwei Huang, L. Bai, M. Sun, and X. Cheng, “A 3D non-stationarity and consistency model for cooperative multi-vehicle channels,’’ IEEE Transactions on Vehicular Technology, vol. 72, no. 9, pp. 11095-11110, Sept. 2023. (SCI, JCR Q1, IF: 6.1)
  4. Ziwei Huang, L. Bai, X. Cheng, X. Yin, P. E. Mogensen, and X. Cai, “A non-stationary 6G V2V channel model with continuously arbitrary trajectory,’’ IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 4-19, Jan. 2023. (SCI, JCR Q1, IF: 6.1)
  5. Ziwei Huang and X. Cheng, “A 3D non-stationary model for beyond 5G and 6G vehicle-to-vehicle mmWave massive MIMO channels,’’ IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8260-8276, Jul. 2022. (SCI, JCR Q1, IF: 7.9)
  6. Ziwei Huang, X. Cheng, and X. Yin, “A general 3D non-stationary 6G channel model with time-space consistency’’, IEEE Transactions on Communications, vol. 70, no. 5, pp. 3436-3450, May 2022. (SCI, JCR Q1, IF: 7.2)
  7. Ziwei Huang and X. Cheng, “A general 3D space-time-frequency non-stationary model for 6G channels,’’ IEEE Transactions on Wireless Communications, vol. 20, no. 1, pp. 535-548, Jan. 2021. (SCI, JCR Q1, IF: 8.9)
  8. Ziwei Huang, X. Zhang, and X. Cheng, “Non-geometrical stochastic model for non-stationary wideband vehicular communication channels,” IET Communications, vol. 14, no. 1, pp. 54-62, Jan. 2020. (SCI, JCR Q3, IF: 1.5)
  9. Ziwei Huang, X. Cheng, and N. Zhang, “An improved non-geometrical stochastic model for non-WSSUS vehicle-to-vehicle channels,’’ ZTE Communications, vol. 17, no. 4, pp. 62-71, Dec. 2019.
  10. X. Cheng, Ziwei Huang, and S. Chen, “Vehicular communication channel measurement, modelling, and application for beyond 5G and 6G,’’ IET Communications, vol. 14, no. 19, pp. 3303-3311, Nov. 2020. (SCI, JCR Q3, IF: 1.5, Best Paper Award: Premium Award, top 0.1%)
  11. X. Cheng, Ziwei Huang, and L. Bai, “Channel nonstationarity and consistency for beyond 5G and 6G: A survey,’’ IEEE Communications Surveys & Tutorials, vol. 24, no. 3, pp. 1634-1669, third-quarter 2022. (SCI, JCR Q1, IF: 34.4)
  12. X. Cheng, Ziwei Huang, L. Bai, H. Zhang, M. Sun, B. Liu, S. Li, J. Zhang, and M. Lee, “M3SC: A generic dataset for mixed multi-modal (MMM) sensing and communication integration,’’ China Communications, vol. 20, no. 11, pp. 13-29, Nov. 2023. (SCI, JCR Q2, IF: 3.1, Cover Paper)
  13. L. Bai, Ziwei Huang, Y. Ge, R. Yu, L. Wang, and X. Cheng, “Cellular vehicle-to-everything (C-V2X) testing: From theory to practice,’’ IEEE Network, accepted, 2025. (SCI, JCR Q1, IF: 6.8, Co-First Authorship)
  14. L. Bai, Ziwei Huang, J. Liu, L. Cui, M. Sheng, and X. Cheng, ‘‘A mixed-bouncing based 6G multi-UAV integrated channel model with consistency and non-stationarity,’’ IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 13456-13470, Oct. 2024. (SCI, JCR Q1, IF: 8.9)
  15. L. Bai, Ziwei Huang, T. Feng, and X. Cheng, “A non-stationary channel model for 6G multi-UAV cooperative communication,” IEEE Transactions on Wireless Communications, vol. 23, no. 2, pp. 949-961, Feb. 2024. (SCI, JCR Q1, IF: 8.9)
  16. L. Bai, Ziwei Huang, L. Cui, and X. Cheng, “A non-stationary multi-UAV cooperative channel model for 6G massive MIMO mmWave communications,’’ IEEE Transactions on Wireless Communications, vol. 22, no. 12, pp. 9233-9247, Dec. 2023. (SCI, JCR Q1, IF: 8.9)
  17. L. Bai, Ziwei Huang, and X. Cheng, “A non-stationary 6G UAV channel model with 3D continuously arbitrary trajectory and self-rotation,’’ IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 10592-10606, Dec. 2022. (SCI, JCR Q1, IF: 8.9)
  18. L. Bai, Ziwei Huang, L. Cui, T. Feng, and X. Cheng, “A mixed-bouncing based non-stationary model for 6G massive MIMO mmWave UAV channels,’’ IEEE Transactions on Communications, vol. 70, no. 10, pp. 7055-7069, Oct. 2022. (SCI, JCR Q1, IF: 7.2)
  19. L. Bai, Ziwei Huang, and X. Cheng, “A non-stationary model with time-space consistency for 6G massive MIMO mmWave UAV channels,’’ IEEE Transactions on Wireless Communications, vol. 22, no. 3, pp. 2048-2064, Mar. 2023. (SCI, JCR Q1, IF: 8.9)
  20. L. Bai, Ziwei Huang, Y. Li, and X. Cheng, “A 3D cluster-based channel model for 5G and beyond vehicle-to-vehicle massive MIMO channels,’’ IEEE Transactions on Vehicular Technology, vol. 70, no. 9, pp. 8401-8414, Sept. 2021. (SCI, JCR Q1, IF: 6.1)
  21. L. Bai, Ziwei Huang, H. Du, and X. Cheng, “A 3-D nonstationary wideband V2V GBSM with UPAs for massive MIMO wireless communication systems,’’ IEEE Internet of Things Journal, vol. 8, no. 24, pp. 17622-17638, Dec. 2021. (SCI, JCR Q1, IF: 8.2)
  22. L. Bai, Ziwei Huang, X. Zhang, and X. Cheng, “A non-stationary 3D model for 6G massive MIMO mmWave UAV channels,’’ IEEE Transactions on Wireless Communications, vol. 21, no. 6, pp. 4325-4339, Jun. 2022. (SCI, JCR Q1, IF: 8.9)
  23. 孙铭然, 黄子蔚, 白露, 程翔, 张洪广, 冯涛. 基于感知图像信息的无人机信道路径损耗预测[J]. 模式识别与人工智能, 2023, 36(11): 987-996. Mingran SUN, Ziwei Huang, Lu BAI, Xiang CHENG, Hongguang ZHANG, Tao FENG. Sensing image data driven UAV channel path loss prediction[J]. Pattern Recognition and Artificial Intelligence, 2023, 36(11): 987-996. (EI)
  24. M. Sun, L. Bai, Ziwei Huang, and X. Cheng, “Multi-modal sensing data based real-time path loss prediction for 6G UAV-to-ground communications,” IEEE Wireless Communications Letters, vol. 13, no. 9, pp. 2462-2466, Sept. 2024. (SCI, JCR Q1, IF: 4.6)
  25. L. Bai, Q. Xu, Ziwei Huang, S. Wu, S. Ventouras, G. Goussetis, and X. Cheng, “An atmospheric data-driven Q-band satellite channel model with feature selection,’’ IEEE Transactions on Antennas and Propagation, vol. 70, no. 6, pp. 4002-4013, June 2022. (SCI, JCR Q1, IF: 4.6)
  26. 白露, 孙铭然, 黄子蔚, 冯涛, 程翔. 面向应急通信的多无人机协同信道建模研究[J]. 通信学报, 2023, 44(7): 38-50.（英文引用格式：Lu BAI, Mingran SUN, Ziwei Huang, Tao FENG, Xiang CHENG. Multi-UAV cooperative channel model for emergency communication[J]. Journal on Communications, 2023, 44(7): 38-50.)（EI, CCF-T1）
  27. 程翔, 张浩天, 杨宗辉, 黄子蔚, 李思江, 余安澜. 车联网通信感知一体化研究：现状与发展趋势[J]. 通信学报, 2022, 43(8): 188-202.（英文引用格式：Xiang CHENG, Haotian ZHANG, Zonghui YANG, Ziwei Huang, Sijiang LI, Anlan YU. Integrated sensing and communications for Internet of vehicles：current status and development trend[J]. Journal on Communications, 2022, 43(8): 188-202.）（EI, CCF-T1）
  28. 程翔，张浩天，李思江，黄子蔚，杨宗辉，高诗简，白露，张嘉楠，郑心湖，杨柳青. 机器联觉：通信与多模态感知的智能融合[J]. 模式识别与人工智能. 2023, 36(11): 967-986. Xiang CHENG, Haotian ZHANG, Sijiang LI, Ziwei Huang, Zonghui YANG, Shijian GAO, Lu BAI, Xinhu ZHENG, Liuqing YANG. Synesthesia of Machines (SoM) towards intelligent multi-modal sensing-communication integration [J]. Pattern Recognition and Artificial Intelligence, 2023, 36(11): 967-986. (EI)
  29. X. Cheng, H. Zhang, J. Zhang, S. Gao, S. Li, Ziwei Huang, L. Bai, Z. Yang, X. Zheng, and L. Yang, “Intelligent multi-modal sensing-communication integration: Synesthesia of Machines”, IEEE Communications Surveys & Tutorials, vol. 26, no. 1, pp. 258-301, Firstquarter 2024. (SCI, JCR Q1, IF: 34.4)

Conference Papers

  1. Ziwei Huang, L. Bai, L. Cui, and T. Feng, “A space-time non-stationary and consistent model for 6G multi-UAV cooperative channels,’’ in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug. 2023, pp. 1-6. (EI)
  2. Ziwei Huang and X. Cheng, “A 3D cluster-based channel model with time-space consistency (Invited Paper),’’ in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Xiamen, China, Jul. 2021, pp. 1-6. (EI)
  3. M. Sun, L. Bai, Ziwei Huang, X. Cheng, and J. Wu, “UAV-to-ground path loss prediction based on synesthesia of machines,” in Proc. 1st Aerospace Frontiers Conference (AFC 2024), Xi’an, China, Apr. 2024. (EI, Outstanding Paper Award)
  4. M. Lu, L. Bai, Ziwei Huang, and X. Cheng, “Propagation characterization of multi-frequency multi-scenario UAV communications,” in Proc. 1st Aerospace Frontiers Conference (AFC 2024), Xi’an, China, Apr. 2024. (EI)
  5. Z. Han, L. Bai, Ziwei Huang, and X. Cheng, “Multi-UAV cooperative channel characterization of emergency communications,” in Proc. 1st Aerospace Frontiers Conference (AFC 2024), Xi’an, China, Apr. 2024. (EI)
  6. L. Bai, M. Sun, Ziwei Huang, and X. Cheng, “A new dataset for intelligent multi-modal sensing-communication integration in low-altitude scenarios (Invited Paper),” in Proc. ACM Turing Award Celebration Conference TURC 2024, Changsha, China, 2024, pp. 216-217. (EI)

Patents

  1. 程翔，黄子蔚，“空时一致性下的三重非平稳无线通信信道建模方法”，专利号ZL202210281015.4
  2. 程翔，黄子蔚，“用于车联网通信的空时频非平稳无线通信信道建模方法”，专利号ZL202210298647.1
  3. 程翔，黄子蔚，白露，“基于机器联觉的激光雷达点云辅助无线信道智能建模方法”，申请（专利）号202410835044X
  4. 程翔，孙铭然，白露，黄子蔚，“基于机器联觉的无人机对地路径损耗实时预测方法”，申请（专利）号2024109494227
  5. 程翔，韩增瑞，白露，黄子蔚，“一种机器联觉赋能的多模态智能信道建模方法”，申请（专利）号2024118800467

Project

Academic Service

Technical Program Committee Member

Technical Reviewers

Invited Talk

Awards

Contact Me

Email: ziweihuang [AT] pku [DOT] edu [DOT] cn