戚晨皓，东南大学教授、博士生导师、江苏省多媒体通信与感知技术工程研究中心主任、东南大学多媒体技术研究所所长、移动通信全国重点实验室教授。2000至2004年在东南大学强化班（现吴健雄学院）学习，获东南大学信息工程专业学士学位并免试研究生。2004年9月起在东南大学信息科学与工程学院硕博连读，获东南大学优秀博士论文基金资助。2010年获东南大学信号与信息处理专业博士学位。2008年9月至2010年1月在美国哥伦比亚大学电子工程系访问。在教学方面，主持省级教学改革项目1项、校级教学改革重点项目3项、思政教改项目1项，承担本科生国家级精品课程“数字信号处理”和“国外电子信息工程专业基础”、研究生“通信信号处理”、博士生“通信中的联合信息处理”课程的教学工作，发表教学论文多篇。指导学生获得中国电子学会优秀硕士学位论文、江苏省优秀硕士学位论文、江苏省优秀本科毕业设计论文一等奖等。在科研方面，主持国家自然科学基金重点项目等国家自然科学基金4项、国家重点研发计划项目课题、工信部国家重大专项课题、国防预研项目、国防预研基金、教育部博士点基金、江苏省自然科学基金、江苏省科技成果转化重大项目、以及中兴通讯股份有限公司、中国移动、中国航天科技集团、中国电子科技集团等行业龙头企业的多项合作项目。获IEEE全球通信年会GlobeCOM最佳论文奖、IEEE中国国际通信大会ICCC最佳论文奖、无线通信与信号处理国际会议WCSP最佳论文奖、IEEE车载技术年会VTC最佳学生论文奖等。已在国际知名期刊及会议发表学术论文100余篇。在5G大规模MIMO信道估计方面的研究工作2014年受到SCI期刊Electronics Letters的人物专访报道。拥有30多项国际和国内发明专利。先后担任SCI期刊IEEE Transactions on Communications、IEEE Communications Letters、China Communications等6个IEEE期刊的编委，担任GlobeCOM、VTC、WCSP等国际学术会议的分会主席。(参见英文简介->) (更多研究动态->)

1. Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang, Zaichen Zhang, and Geoffrey Ye Li, Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches, Science China Information Sciences, Vol.64, No.8, pp.181301, Aug. 2021.(封面论文)

2. Chenhao Qi, Kangjian Chen, Octavia Dobre and  Geoffrey Ye Li, Hierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO, IEEE Transactions on Wireless Communications, Vol.19, No.12, pp.8142-8152, Dec. 2020.

3. Zhaohui Li, Chenhao Qi and  Geoffrey Ye Li, Low-Complexity Multicast Beamforming for Millimeter Wave Communications, IEEE Transactions on Vehicular Technology, Vol.69, No.10, pp.12317-12320, Oct. 2020.

4. Wenyan Ma, Chenhao Qi, Zaichen Zhang and Julian Cheng, Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO, IEEE Transactions on Communications, Vol.68, No.5, pp.2838-2849, May 2020.

5. Chenhao Qi, Xuyao Sun, Yansha Deng and  Nallanathan Arumugam, QoS Constrained Pilot Allocation Scheme for Massive MIMO Systems, IEEE Transactions on Vehicular Technology, Vol.69, No.5, pp.5661-5665, May 2020.

6. Wenyan Ma, Chenhao Qi and  Geoffrey Ye Li, High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO System, IEEE Transactions on Wireless Communications, Vol.19, No.5, pp.3517-3529, May 2020.

7. Kangjian Chen, Chenhao Qi and Geoffrey Ye Li, Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters, IEEE Transactions on Signal Processing, Vol.68, No.1, pp.170-180, Jan. 2020.

8. Xuyao Sun, Chenhao Qi and  Geoffrey Ye Li, Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems, IEEE Transactions on Wireless Communications,  Vol.18, No.2, pp.1041-1053, Feb. 2019.

9. Shiwen He, Chenhao Qi, Yongming Huang, Qi Hou and Arumugam Nallanathan, Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks, IEEE Transactions on Communications, Vol.67, No.1, pp.445-456, Jan. 2019.

10. Peng Chen, Chenhao Qi, Lenan Wu and Xianbin Wang, Waveform Design for Kalman Filter-Based Target Scattering Coefficient Estimation in Adaptive Radar System, IEEE Transactions on Vehicular Technology, Vol.67, No.12, pp.11805-11817, Dec. 2018.

11. Wenyan Ma and Chenhao Qi, Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining, IEEE Transactions on Signal Processing, Vol.66, No.18, pp.4839-4853, Sep. 2018.

12. Peng Chen, Chenhao Qi, Lenan Wu and Xianbin Wang,  Estimation of Extended Targets Based on Compressed Sensing in Cognitive Radar System, IEEE Transactions on Vehicular Technology, Vol.66, No.2, pp.941-951, Feb. 2017.

13. Chenhao Qi, Lenan Wu, Yongming Huang and A. Nallanathan, Joint Design of Pilot Power and Pilot Pattern for Sparse Cognitive Radio Systems, IEEE Transactions on Vehicular Technology, Vol.64, No.11, pp.5384-5390, Nov. 2015.

14. Chenhao Qi, Guosen Yue, Lenan Wu, Yongming Huang and A. Nallanathan. Pilot Design Schemes for Sparse Channel Estimation in OFDM Systems,IEEE Transactions on Vehicular Technology, Vol.64, No.4, pp.1493-1505, Apr. 2015.

15. Chenhao Qi, Guosen Yue, Lenan Wu and A. Nallanathan, Pilot Design for Sparse Channel Estimation in OFDM-Based Cognitive Radio Systems, IEEE Transactions on Vehicular Technology, Vol.63, No.2, pp.982-987, Feb. 2014.

1. Ruotong Xu, Chenhao Qi and Kangjian Chen, Parameter Estimation and Beam Tracking in Integrated Sensing and Communication System, IEEE 96th Vehicular Technology Conference (VTC-Fall), Beijing, China, Sep. 2022, pp. 1-5. (最佳学生论文奖)

2. Ying Wang and Chenhao Qi, Deep Semantic Coding for Wireless Image Retrieval, IEEE 96th Vehicular Technology Conference (VTC-Fall), Beijing, China, Sep. 2022, pp. 1-5.

3. Kangjian Chen, Chenhao Qi and Cheng-Xiang Wang, Two-Stage Hybrid-Field Beam Training for Ultra-Massive MIMO Systems, IEEE/CIC International Conference on Communications in China (ICCC), Foshan, China, Aug. 2022, pp.1074-1079. (最佳论文奖)

4. Pengju Zhang and Chenhao Qi, Beam Allocation based on Deep Learning for Wideband mmWave Massive MIMO, 2022 IEEE International Conference on Communications (ICC), Seoul, South Korea, May 2022, pp.1-6.

5. Wei Ci, Chenhao Qi, Geoffrey Ye Li and Shiwen Mao, Hybrid Beamforming Design for Covert Multicast mmWave Massive MIMO Communications, 2021 IEEE Global Communications Conference (GLOBECOM),  Madrid, Spain, Dec. 2021, pp.1-6.

6. Hongwei Peng, Chenhao Qi, Yang Chen, Qian Zhang, Dong Chen and Rui Ding, Channel Modeling and Signal Transmission for Land Mobile Satellite MIMO, 2021 IEEE Global Communications Conference (GLOBECOM),  Madrid, Spain, Dec. 2021, pp.1-6.

7. Qiang Liu, Chenhao Qi, Xianghao Yu and Geoffrey Ye Li, MmWave MIMO Hybrid Precoding Design Using Phase Shifters and Switches, 2021 IEEE Global Communications Conference (GLOBECOM),  Madrid, Spain, Dec. 2021, pp.1-6.

8. Jinming Zhang and Chenhao Qi, Channel Estimation for mmWave Satellite Communications with Reconfigurable Intelligent Surface, 2021 IEEE Global Communications Conference (GLOBECOM),  Madrid, Spain, Dec. 2021, pp.1-6.

9. Zhaohui Li and Chenhao Qi, Beam Training with Limited Feedback for Multiuser mmWave Massive MIMO, 2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020, pp.1-6.

10. Yuhan Sun, Chenhao Qi, and Geoffrey Ye Li, Computation-Aided Adaptive Codebook Design for Millimeter Wave Massive MIMO, 2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 2020, pp.1-6.

11. Jinming Zhang, Chenhao Qi, Ping Li and Ping Lu, Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO System, IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Atlanta, USA, May 2020, pp.1-5.

12. Kangjian Chen, Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, Simultaneous Multiuser Beam Training using Adaptive Hierarchical Codebook for mmWave Massive MIMO, IEEE Global Communications Conference (GLOBECOM), Waikoloa, Hawaii, USA, Dec. 2019, pp.1-6. (最佳论文奖)

13. Wenyan Ma, Chenhao Qi, Zaichen Zhang and Julian Cheng, Deep Learning for Compressed Sensing Based Channel Estimation in Millimeter Wave Massive MIMO, The Eleventh International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China, Oct. 2019, pp.1-6. (最佳论文奖)

14. Wenyan Ma and Chenhao Qi, ESPRIT-based Channel Estimation for Frequency-Selective Millimeter Wave Massive MIMO System, IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6.

15. Xuyao Sun and Chenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive MIMO Systems, IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6.

16. Huajian Chen and Chenhao Qi, User Grouping for Sum-rate Maximization in Multiuser Multibeam Satellite Communications, IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6.

17. Kangjian Chen and Chenhao Qi, Beam Design with Quantized Phase Shifters for Millimeter Wave Massive MIMO, 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, UAE, Dec. 2018, pp.1-6.

18. Wenyan Ma and Chenhao Qi, Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive MIMO, IEEE International Conference on Communications (ICC), Kansas City, USA, May 2018, pp.1-6.

19. Huajian Chen and Chenhao Qi, Group Bayesian Sparse Channel Estimation for Massive MIMO Systems, 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017, pp.1-6.

20. Yuhan Sun and Chenhao Qi, Analog Beamforming and Combining Based on Codebook in Millimeter Wave Massive MIMO Communications, 2017 IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017, pp.1-6.

21. Chenhao Qi, Xin Wang and Yongming Huang, Selection of Nonzero Taps for Sparse Linear Equalizer, IEEE 83rd Vehicular Technology Conference (VTC-Spring), Nanjing, China, May 2016, pp. 1-5.

22. Chenhao Qi, Yongming Huang, Shi Jin and Lenan Wu, Sparse Channel Estimation Based on Compressed Sensing for Massive MIMO Systems, IEEE International Conference on Communications (ICC), London, June 2015, pp. 4558-4563.

23. Chenhao Qi and Lenan Wu, Comparisons of Channel Estimation for OFDM-based and Wavelet-based Underwater Acoustic Communications, IEEE Wireless Commu-nications and Networking Conference (WCNC), Shanghai, Apr. 2013, pp.2920-2925.

24. Chenhao Qi, Lenan Wu and Xiaodong Wang, Underwater Acoustic Channel Estimation via Complex Homotopy, IEEE International Conference on Communications (ICC), Ottawa, June 2012, pp.3821-3825.

25. Chenhao Qi and Lenan Wu, A Hybrid Compressed Sensing Algorithm for Sparse Channel Estimation in MIMO OFDM Systems, IEEE 36th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, May 2011, pp.3488-3491.

26. Chenhao Qi and Lenan Wu, Application of Compressed Sensing to DRM Channel Estimation, IEEE 73rd Vehicular Technology Conference (VTC-Spring), Budapest, May 2011, pp.1-5.  

参与 数字信号处理（第三版）. 北京：高等教育出版社，2016

参与 数据压缩（第三版）. 北京：电子工业出版社，2012

04043020，数字信号处理（秋季，本科生专业基础课）

04030614，国外电子信息工程专业基础（春季，本科生全英文课）

S004216，通信信号处理（春季，研究生课程）

B004102，通信中的联合信息处理（春季，博士生课程）

1.  戚晨皓，姜国力，王宇杰. 一种基于深度强化学习的毫米波通信波束训练方法，申请号：202110623890.1.

2.  戚晨皓，陈康建. 一种具有恒模约束的毫米波MIMO系统波束成形方法，申请号：201910910231.9.

3.  戚晨皓，陈康建. 一种基于码本的毫米波通信多用户并行波束训练方法，申请号：201910715824.X.

4.  戚晨皓，李朝辉，陈康建. 一种低复杂度毫米波多播波束成形方法，申请号：201910699093.4.

5.  戚晨皓，刘强，陈康建. 一种毫米波通信的混合预编码结构、混合合并结构及方法，申请号：201910477000.3.

6.  戚晨皓，陈华健. 一种多波束卫星通信系统用户分组的方法及其装置，申请号：201811569312.9.

7.  戚晨皓，陈康建. 一种毫米波通信码本设计方法，授权专利号：ZL201811553452.7.

8.  戚晨皓，陈康建. 一种毫米波通信多径信道动态波束训练方法，授权专利号：ZL201811324848.4.

9.  戚晨皓，王宇杰，马文焱. 一种基于深度学习的毫米波信道波束训练方法，授权专利号：ZL201910609278.1.

10.  戚晨皓，孙旭耀，杨洋. 多用户毫米波通信系统的波束分配方法及其装置和系统，授权专利号：ZL201710717443.6.

11.  戚晨皓，马文焱. 毫米波通信的十字形信道估计方法、装置及系统，授权专利号：ZL201710413002.7.

12.  戚晨皓，马文焱，王昕. 可生成导频的交织单元及无线通信数据发送、接收装置，授权专利号：ZL201610592999.2.

13.  戚晨皓，孙旭耀，王昕. 一种多小区大规模MIMO系统导频分配方法，授权专利号：ZL201610322009.3.

14. 戚晨皓，朱鹏程. 一种联合稀疏信道估计方法、装置及系统. 授权专利号：ZL201410282949.5.

15. 戚晨皓，吴艺群，张舜卿. Pilot frequency arrangement determination method and base station. 国际发明专利公开号：WO2015085820A1

16. 戚晨皓，朱鹏程. Joint sparse channel estimation method, device and system. 国际发明专利公开号：WO2015196384A1

17. 戚晨皓，吴艺群，张舜卿. Method for determining pilot arrangement and base station, 美国专利授权:US20160294525A1

18. 戚晨皓，吴艺群，张舜卿. Pilot frequency arrangement determination method and base station，欧洲专利授权：EP3068065

19. 戚晨皓，吴艺群，张舜卿. 一种导频排布确定方法及基站. 授权专利号：ZL201310687413.7.

20. 戚晨皓，吴乐南，黄永明. 认知无线电中基于稀疏信道估计的导频设计方法. 授权专利号：ZL201210352607.7

21. 戚晨皓，张舜卿. Pilot frequency optimizing method, apparatus and channel estimating method for sparse channel, 国际发明专利公布号：WO2014044042A1

22. 戚晨皓，张舜卿. 稀疏信道的导频优化方法、装置和信道估计方法. 授权专利号：ZL201210350713.1

1. 国家级教学成果奖，二等奖，2022

2. IEEE车载技术年会VTC-Fall最佳学生论文奖，2022

3. IEEE中国国际通信大会ICCC最佳论文奖，2022

4. 江苏省教学成果奖，一等奖，2021

5. 江苏省优秀硕士学位论文指导教师，2021

6. 江苏省科学技术奖三等奖，2020

7. 中国电子学会优秀硕士学位论文指导教师，2020

8. IEEE全球通信年会GlobeCOM最佳论文奖，2019

9. 无线通信与信号处理国际会议WCSP最佳论文奖，2019

10. IEEE Communications Letters Exemplary Editor，2018

11. IEEE Access Outstanding Associate Editor Award，2018

12. 教育部高等学校科学研究技术发明奖，二等奖，2018

13. 南京市第十二届自然科学优秀学术论文奖，二等奖，2017

14. 江苏省轻工业技术进步奖，三等奖，2017

15. 南京市科学技术进步奖，二等奖，2016

16. 中国轻工业联合会科学技术进步奖，二等奖，2016

17. 江苏军民结合科技创新奖，三等奖，2013

1. 国家自然科学基金重点项目：复杂电磁环境下的通信感知一体化技术研究

2. 国家重点研发计划项目课题：面向用户服务的智能多波束赋形与空时频抗干扰技术

3. 国家自然科学基金：毫米波大规模MIMO的信道状态信息获取与跟踪技术研究

4. 国家自然科学基金：多用户毫米波大规模MIMO系统的波束训练与混合波束成形

5. 国家自然科学基金：大规模MIMO系统中信道估计与导频设计研究

6. 国家科技重大专项：5G热点高容量场景组网技术与试验系统研发

7. 国家科技支撑计划：数字音频广播关键技术研究和应用示范

8. “十三五”国防预研项目：XXX技术研究

9. 国防预研基金：XXX技术研究

10. 江苏省自然科学基金：水声通信中的稀疏信号处理理论与技术研究

11. 江苏省科技成果转化重大项目：面向5G应用的无线宽带物联网传输设备的研发及产业化

12. 教育部博士点基金：基于压缩感知的OFDM信道估计理论与关键技术研究

13. 中国空间技术研究院CAST创新基金：星载自适应反馈及预编码技术研究

14. 上海航天技术研究院SAST创新基金：卫星通信中的关键传输理论与技术研究

15. 中兴通讯产学研合作项目：毫米波MIMO通信物理层技术研究

16. 企事业单位委托项目：大数据传输中的稀疏性研究

17. 企事业单位委托项目：水声通信中的压缩感知技术研究

18. 企事业单位委托项目：基于Android系统和无线定位的应用软件开发

19. 企事业单位委托项目：通过调幅广播发送的农情信息服务系统

20. 企事业单位委托项目：5G无线通信暨大规模MIMO系统的传输技术研究

办公地点：东南大学九龙湖校区信息大楼423室 或 九龙湖无线谷A5楼5423室

Email：qch@seu.edu.cn

电话：025-83792443