周婷 教授
邮箱：zhouting@shu.edu.cn
澳门永利yl6776
导师介绍：
主要研究领域为下一代无线移动通信系统、异构融合网络协同以及基于脑机接口的智能通信技术。领衔获得省部级科学技术奖励一等奖2项，入选上海市青年科技英才、上海市三八红旗手。先后主持国家科技部、工信部、自然基金委、中科院及上海市等重大科研项目二十余项，项目经费合计超过2亿元。发表SCI/EI学术论文60余篇，已申请发明专利超过65 项，获授权专利25项，其中美国授权发明专利5项，欧洲授权发明专利2项，成功实现市场转化4项。
招收微电子、通信工程等相关专业背景的硕士、博士研究生及博士后。
研究方向：
1. 下一代无线通信关键技术
2. 异构融合网络协同关键技术
3. 脑机通信技术
4. 通信系统基带芯片
教育背景：
2011年博士毕业于中国科学院上海微系统与信息技术研究所通信与信息系统专业
2006年硕士毕业于清华大学通信与信息系统专业
2004年本科毕业于清华大学电子信息工程专业
工作经历：
2022年10月-至今 澳门永利yl6776 教授
2017年6月-2022年10月 中国科学院上海高等研究院 研究员、博导、智能通信团队负责人
2008年12月-2017年5月 中国科学院上海微系统与信息技术研究所 副研究员、硕导
2007年01月-2007年10月 诺基亚（芬兰） 无线标准预研部 研究学者
2006年08月-2008年11月 上海无线通信研究中心 研究实习员
科研成果及获奖情况：
已参著中英文专著3 部，分别由欧洲Cambridge University Press 和我国电子工业出版社出版（其中1 部获工业和信息产业科技与教育专著出版资金资助，是我国首套5G 技术丛书之一）。发表高水平学术论文70余篇，包括IEEE Wireless Communications（SCI一区，IF12）、IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology等领域内顶刊和国际顶级会议（IEEE ICC、Infocom、Globecom）；已申请发明专利超过65 项，获授权专利25项，其中美国授权发明专利5项，欧洲授权发明专利2项，成功实现市场转化4项；7篇技术提案被我国IMT-Advanced（4G）标准推进组接收，1项核心技术被写入3GPP LTE（4G）国际标准。多项核心技术专利转让或应用于中国铁塔股份有限公司、诺基亚、诺基亚西门子、中兴通讯等领域内主流企业以及国家重大民生工程南水北调项目。
科技奖励：
1. 上海市技术发明一等奖（第一完成人），2020年
2. 中国通信学会技术发明一等奖（第一完成人），2019年
3. 中国通信学会技术发明一等奖（第六完成人），2016年
4. 上海市科技进步二等奖，2015年
人才荣誉：
1. 上海市青年科技英才，2022年
2. 中国科学院上海分院杰出青年科技创新人才，2022年
3. 中国科学院青年创新促进会优秀会员，2021年
4. 上海市优秀学术/技术带头人，2021年
5. 上海市三八红旗手，2021年
6. 上海市青年拔尖人才，2018年
7. 上海市青年科技启明星A类，2017年
8. 中国科学院青年创新促进会会员，2017年
近五年代表性论文：
1. T. Zhou*, Y. Wang, B. Xu, T. Xu, X. Tao, H. Hu, "Environmental Information-aided Electromagnetic Propagation Testbed for Maritime Communication " China Communication 2022 (Accepted)
2. H. Min, T. Zhou*, T. Xu, Y. Huang and H. Hu, "Stratified Federated Learning-Based Beamforming Design for Heterogeneous IRSs-Aided Networks," IEEE Wireless Communications Letters, Early Access, 2022, doi: 10.1109/LWC.2022.3213642.
3. Y. Wang, T. Zhou*, T. Xu and H. Hu, "a Rotated-Constellation Based Method for BER Analysis in Uplink NOMA Systems," IEEE Transactions on Vehicular Technology, Early Access, 2022, doi: 10.1109/TVT.2022.3209866.
4. J. Wu, T. Xu, T. Zhou*, X. Chen, N. Zhang and H. Hu, "Feature-based Spectrum Sensing of NOMA System for Cognitive IoT Networks," IEEE Internet of Things Journal, Early Access, 2022, doi: 10.1109/JIOT.2022.3204441.
5. L. Xu, F. Gao, T. Zhou, S. Ma and W. Zhang, "Joint Channel Estimation and Mixed-ADCs Allocation for Massive MIMO via Deep Learning," IEEE Transactions on Wireless Communications, Early Access, 2022, doi: 10.1109/TWC.2022.3200378.
6. B. Xu, T. Zhou*, X. Tao, T. Xu and Y. Wang, "Ergodic Capacity Analysis for Relay-RIS System Under Three-Dimensional Channel Model," IEEE Communications Letters, vol. 26, no. 10, pp. 2292-2296, Oct. 2022, doi: 10.1109/LCOMM.2022.3190295.
7. X. Zhao, Z. Wang. R. Li. G. Xu, T. Zhou, T. Xu, H. Hu, "An SSPVEP Brain-Computer Interface Using a Small Amount of Flicker Stimuli," IEEE Access, vol. 10, pp. 73257-73268, 2022, doi: 10.1109/ACCESS.2022.3188855.
8. K. Wang, T. Zhou*, T. Xu and H. Hu, "Error-Compensated Adaptive Modulation and Coding for Uplink NOMA Systems," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), 2022, pp. 1-5.
9. L. Wang, T. Zhou*, T. Xu, "Sum Rate Maximization for Multi-IRS Assisted Downlink NOMA with Mobile Users, " ICC 2022 - IEEE International Conference on Communications, 2021, pp. 1-6
10. H. Zhang, T. Zhou, T. Xu, Y. Wang and H. Hu, "Statistical Modeling of Evaporation Duct Channel for Maritime Broadband Communications," IEEE Transactions on Vehicular Technology, vol. 71, no. 10, pp. 10228-10240, Oct. 2022.
11. Z. Liu, Y. Yang, F. Gao, T. Zhou and H. Ma, "Deep Unsupervised Learning for Joint Antenna Selection and Hybrid Beamforming," IEEE Transactions on Communications, vol. 70, no. 3, pp. 1697-1710, March 2022
12. X. Wang, T. Xu, T. Zhou, H. Hu," Dynamic power allocation strategy for uplink non-orthogonal multiple access systems” Computer Communications, vol. 184, no. 15, pp 36-41, Feb. 2022.
13. Z. Wang, X. Chen, R. Li, H. Hu and T. Zhou*, "Enhancing Detection of SSVEPs through Spatial Filtering: An Inter-Trial Distance Minimization Perspective," 2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2021, pp. 175-180
14. Jingyi Wu, Tianheng Xu, Ting Zhou, Kaijie Wang, "Feature Detection Based Spectrum Sensing in NOMA System", Mobile Networks and Management, vol.418, pp.201, 2022.
15. Tianheng Xu, Ning Zhang, Ting Zhou, Honglin Hu, Xiaoming Tao, "NOMA-Based Statistical Signal Transmission for Beyond 5G Communications", Mobile Networks and Management, vol.418, pp.282, 2022.
16. Yuling Ouyang, Caiyuan Yin, Ting Zhou, Yan Jin, "Machine Learning Enhanced CPU-GPU Simulation Platform for 5G System", Mobile Networks and Management, vol.418, pp.25, 2022.
17. B. Lin, F. Gao, S. Zhang, T. Zhou and A. Alkhateeb, "Deep Learning-based Antenna Selection and CSI Extrapolation in Massive MIMO Systems," 2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021, pp. 962-966
18. Z. Wang, T. Zhou*, T. Xu, Y. Zhao and H. Hu, "Capacity Characterization for Reconfigurable Intelligent Surface Aided MIMO Communication Under Practical Phase Shift Model," 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 1413-1418
19. F. Gao, B. Lin, C. Bian, T. Zhou, J. Qian and H. Wang, "FusionNet: Enhanced Beam Prediction for mmWave Communications Using Sub-6 GHz Channel and a Few Pilots," IEEE Transactions on Communications, vol. 69, no. 12, pp. 8488-8500, Dec. 2021
20. H. Zhang, T. Zhou*, T. Xu, Y. Wang and H. Hu, "FNN-Based Prediction of Wireless Channel with Atmospheric Duct," ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6
21. K. Wang, T. Zhou*, T. Xu, H. Hu and X. Tao, "Asymmetric Adaptive Modulation for Uplink NOMA Systems," IEEE Transactions on Communications, vol. 69, no. 11, pp. 7222-7235, Nov. 2021
22. B. Xu, T. Zhou*, T. Xu and Y. Wang, "Reconfigurable Intelligent Surface Configuration and Deployment in Three-dimensional Scenarios," 2021 IEEE International Conference on Communications Workshops (ICC Workshops), 2021, pp. 1-6
23. B. Lin, F. Gao, S. Zhang, T. Zhou and A. Alkhateeb, "Deep Learning-Based Antenna Selection and CSI Extrapolation in Massive MIMO Systems," IEEE Transactions on Wireless Communications, vol. 20, no. 11, pp. 7669-7681, Nov. 2021
24. J. Sang, T. Zhou*, T. Xu, Y. Jin and Z. Zhu, "Deep Learning Based Predictive Power Allocation for V2X Communication," IEEE Access, vol. 9, pp. 72881-72893, 2021
25. F. Wei, T. Zhou*, T. Xu and H. Hu, "BER Analysis for Uplink NOMA in Asymmetric Channels," IEEE Communications Letters, vol. 24, no. 11, pp. 2435-2439, Nov. 2020
26. T. Xu, T. Zhou, J. Tian, J. Sang and H. Hu, "Intelligent Spectrum Sensing: When Reinforcement Learning Meets Automatic Repeat Sensing in 5G Communications," IEEE Wireless Communications, vol. 27, no. 1, pp. 46-53, February 2020
27. X. Shang, H. Hu, X. Li, T. Xu and T. Zhou, "Dive Into Deep Learning Based Automatic Modulation Classification: A Disentangled Approach," IEEE Access, vol. 8, pp. 113271-113284, 2020
28. X. Wang, T. Zhou*, T. Xu, S. Feng, H. Hu and Y. Jin, "Fragmental weight-conservation combining scheme for statistical signal transmissions under fast time-varying channels," China Communications, vol. 17, no. 1, pp. 118-128, Jan. 2020
29. T. Xu, M. Zhang, T. Zhou, F. Wei and H. Hu, "Non-Orthogonal Multiple Access-Based Statistical Signal Transmission Technique," in Proc. IEEE ICC 2020, pp. 1-6.
30. Z. Wang, T. Xu, T. Zhou*, “Joint Tier Slicing and Power Control for a Novel Multicast System based on NOMA and D2D-Relay”in Proc. IEEE Globecom 2020, pp. 1-6.
31. Z. Wang, H. Hu, X. Chen, T. Zhou* and T. Xu, "A Novel SSVEP-Based Brain-Computer Interface Using Joint Frequency and Space Modulation," IEEE INFOCOM 2020, pp. 906-911
32. R. Kunst, E. Pignaton, T. Zhou and H. Hu, "Application of future 6G technology to support heavy data traffic in highly mobile networks," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020, pp. 144-148.
33. F. Wei, T. Zhou*, T. Xu and H. Hu, "Modeling and Analysis of Two-Way Relay Networks: A Joint Mechanism Using NOMA and Network Coding," in IEEE Access, vol. 7, pp. 152679-152689, 2019
34. Z. Wang, T. Zhou*, T. Xu and H. Hu, "An Iterative Greedy User Clustering Algorithm for D2D-Relay in Vehicular Communication Systems,” IET Microwaves, Antennas & Propagation, vol. 13, no. 8, pp. 1087 - 1095, Jul. 2019.
35. Z. Wang, T. Zhou*, T. Xu, X. Tao and H. Hu, “Joint User Grouping and Power Control of Virtual MIMO in Fog Computing,” in Proc. IEEE Globecom 2019, pp. 1-6.
36. F. Wei, T. Zhou*, T. Xu, H. Hu and X. Tao, “A Joint Mechanism for Fog-Relay Networks Based on NOMA and Network Coding,” in Proc. IEEE Globecom 2019, pp. 1-6.
37. Y. Wang, Y. Chen, T. Zhou*, H. Hu, “A Traceable Approach to Remote Interference Management for New Radio,” in Proc. IEEE ICC 2019, pp1-6.
38. Tian, J., Zhou, T., Xu, T., Hu, H., Li, M. Blind Channel Estimation of Doubly Selective Fading Channels. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018.
39. Y. Zeng, T. Zhou*, H. Hu, Y. Yang, J. Tian and Z. Li, "Weight based channel selection towards 5G in the unlicensed spectrum," in China Communications, vol. 15, no. 8, pp. 54-66, Aug. 2018
40. J. Tian, T. Zhou, T. Xu, H. Hu and M. Li, "Blind Estimation of Channel Order and SNR for OFDM Systems," in IEEE Access, vol. 6, pp. 12656-12664, 2018
41. L. Yang, K. Kang, T. Zhou, et al. Calibration of Transmitter IQ Imbalance with 1-Bit Feedback[J]. Digital Signal Processing, 2018, 79.
42. T. Xu, M. Zhang, T. Zhou*, “Statistical Signal Transmission Technology: A Novel Perspective for 5G Enabled Vehicular Networking,” IEEE Wireless Communications, vol. 24, no. 6, pp. 22-29, Dec. 2017.
43. B. Jia, T. Zhou*, H. Hu, et al., “Flexible Uplink MU-MIMO Scheduling in Unlicensed Spectrum,” China Communications, vol.14, no.12, pp.59-71, Dec. 2017
44. T. Zhou, T. Sun, H. Hu, et al., “Analysis and prediction of 100 km-scale atmospheric duct interference in TD-LTE networks,” Journal of Communications and Information Networks, vol.2, no.1, pp. 66-80, 2017
45. Tianyu Sun, T. Zhou*, H. Xu, et al., “A Random Forest-based Prediction Method of Atmospheric Duct Interference in TD-LTE Networks, " in Proc. IEEE Globecom 2017, pp. 1-6
