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

期刊论文：

1.       Chenhao Qi, Peihao Dong, Wenyan Ma, Hua Zhang,Zaichen Zhang, and Geoffrey Ye Li, Acquisition of Channel State Information for mmWave MassiveMIMO: Traditional and Machine Learning-based Approaches, ScienceChina 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 forMillimeter Wave Massive MIMO, IEEE Transactions onWireless 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 WaveCommunications, IEEE Transactions on Vehicular Technology,Vol.69, No.10, pp.12317-12320, Oct. 2020.

4.      Wenyan Ma, Chenhao Qi and  Geoffrey Ye Li, Machine Learning for Beam Alignment in Millimeter WaveMassive MIMO, IEEE Wireless Communications Letters,Vol.9, No.6, pp.875-878, June 2020.

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

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

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

8.      Chenhao Qi, Huajian Chen, Yansha Deng and Nallanathan Arumugam, Energy Efficient Multicast Precoding for Multiuser MultibeamSatellite Communications, IEEE Wireless CommunicationsLetters, Vol.9, No.4, pp.567-570, Apr. 2020.

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

10.   Miao Pu, Bingcheng Zhu, Chenhao Qi, Yi Jin and Chong Lin A Model-Driven Deep  Learning Method for LEDNonlinearity Mitigation in OFDM-based Optical Communications, IEEEAccess, Vol.7, No.1, pp.71436-71446, Dec.2019.

11.    Xuyao Sun, Chenhao Qi and  Geoffrey Ye Li, Beam Training and Allocation for Multiuser Millimeter WaveMassive MIMO Systems, IEEE Transactions on WirelessCommunications,  Vol.18, No.2, pp.1041-1053, Feb. 2019.

12.    Xuyao Sun and Chenhao Qi, Codeword Selection and Hybrid Precoding for MultiuserMillimeter Wave Massive MIMO Systems, IEEE CommunicationsLetters, Vol.23, No.2, pp.386-389, Feb. 2019.

13.    Jun Tao, Chenhao Qi and Yongming Huang, Regularized Multipath Matching Pursuit for Sparse ChannelEstimation in Millimeter Wave Massive MIMO System, IEEEWireless Communications Letters, Vol.8, No.1, pp.169-172, Feb. 2019.

14.   Kangjian Chen and Chenhao Qi, Beam Training based on Dynamic Hierarchical Codebook forMillimeter Wave Massive MIMO, IEEE Communications Letters,Vol.23, No.1, pp.132-135, Jan. 2019.

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

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

17.    Pu Miao, Chenhao Qi, Lanting Fang, Kang Song and QingkaiBu, Deep clipping noise mitigation using ISTA with the specifiedobservations for LED-based DCO-OFDM system, IETCommunications, Vol.12, No.20, pp.2582-2591, Nov. 2018.

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

19.   Chenhao Qi and Wang Xin, Precoding Design for Energy Efficiency of MultibeamSatellite Communications, IEEE Communications Letters,Vol.22, No.9, pp.1826-1829, Sep. 2018.

20.  Wenyan Ma and Chenhao Qi, Channel Estimation for 3-D Lens Millimeter Wave Massive MIMOSystem, IEEE Communications Letters, Vol.21,No.9, pp.2045-2048, Sep. 2017.

21.    Yuhan Sun and Chenhao Qi, Weighted Sum-Rate Maximization for Analog Beamforming andCombining in Millimeter Wave Massive MIMO Communications, IEEECommunications Letters, Vol.21, No.8, pp.1883-1886, Aug. 2017.

22.   Peng Chen, Chenhao Qi and Lenan Wu, Antenna Placement Optimization for Compressed Sensing-BasedDistributed MIMO Radar, IET Radar, Sonar & Navigation,Vol.11, No.2, pp.285-293, Apr. 2017.

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

24.   Zhen Gao, Linglong Dai, Chenhao Qi, Chau Yuen, and ZhaochengWang, Near-Optimal Signal Detector Based on Structured CompressiveSensing for Massive SM-MIMO, IEEE Transactions onVehicular Technology, Vol.66, No.2, pp.1860-1865, Feb. 2017.

25.   Shiwen He, Chenhao Qi, Yongpeng Wu and Yongming Huang,  Energy-Efficient Transceiver Design for Hybrid Sub-ArrayArchitecture MIMO Systems, IEEE Access, Vol.4,pp.9895-9905, Jan. 2017.

26.   Shiwen He, Yongming Huang, Yanru Shi, Chenhao Qi, Shi Jin, andLuxi Yang, Coordinated Multicell Beamforming for Massive MIMO SystemsBased on Uplink-Downlink Duality, IET Communications,Vol.10, No.17, pp.2380-2390, Nov. 2016.

27.   Shiwen He, Yongming Huang, Ying Lu, Chenhao Qi, and LuxiYang, Resource Efficiency: A New Beamforming Design for MulticellMultiuser Systems, IEEE Transactions on VehicularTechnology, Vol.65, No.8, pp.6063-6074, Aug. 2016.

28.  Peng Chen, Lenan Wu and Chenhao Qi, Waveform Optimization for Target Scattering CoefficientsEstimation under Detection and Peak-to-Average Power Ratio Constraints inCognitive Radar, Circuits, Systems and Signal Processing,Vol.35, No.1, pp.163-184, Jan. 2016.

29.   Chenhao Qi, Lenan Wu, Yongming Huang and ArumugamNallanathan, Joint Design of Pilot Power and Pilot Pattern for SparseCognitive Radio Systems, IEEE Transactions on VehicularTechnology, Vol.64, No.11, pp.5384-5390, Nov. 2015.

30.  Chenhao Qi, Arumugam Nallanathan and Lenan Wu, Joint Optimization of Secret Key Capacity and Sparse ChannelEstimation based on Pilot Power Allocation, ElectronicsLetters, Vol.51, No. 13, pp.1033-1035, June 2015.

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

32.   Chenhao Qi and Lenan Wu, Uplink Channel Estimation for Massive MIMO Systems ExploringJoint Channel Sparsity, Electronics Letters,Vol.50, No. 23, pp.1770-1772, Nov. 2014.

33.   Chenhao Qi, Interview: “By exploring the joint sparsity of the uplinkchannel, the pilot overhead can be substantially reduced”, ElectronicsLetters, Vol.50, No. 23, pp.1650, Nov. 2014.

34.   Chenhao Qi, Guosen Yue, Lenan Wu and ArumugamNallanathan, Pilot Design for Sparse Channel Estimation in OFDM-BasedCognitive Radio Systems, IEEE Transactions on VehicularTechnology, Vol.63, No.2, pp.982-987, Feb. 2014.

35.   Chenhao Qi and Lenan Wu, Sparse Channel Estimation for Wavelet-based UnderwaterAcoustic Communications. Transactions on EmergingTelecommunications Technologies, Vol.23, No.8, pp.764-776, Dec. 2012.

36.   Chenhao Qi and Lenan Wu, A Study of Deterministic Pilot Allocation for Sparse ChannelEstimation in OFDM Systems, IEEE Communications Letters,Vol.16, No.5, pp.742-744, May 2012.

37.   Chenhao Qi and Lenan Wu, Tree-based Backward Pilot Generation for Sparse ChannelEstimation, Electronics Letters, Vol.48, No.9,pp.501-503, Apr. 2012.

38.  Chenhao Qi and Lenan Wu, Optimized Pilot Placement for Sparse Channel Estimation inOFDM Systems, IEEE Signal Processing Letters, Vol.18,No.12, pp.749-752, Dec. 2011.

39.   Chenhao Qi, Xiaodong Wang and Lenan Wu, Underwater Acoustic Channel Estimation based on Sparse RecoveryAlgorithms, IET Signal Processing, Vol.5,No.8, pp.739-747, Dec. 2011.

会议论文：

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), London/Beijing,   UK/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), London/Beijing, UK/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 MIMOCommunications, 2021 IEEE Global Communications Conference (GlobeCOM2021),  Madrid, Spain, Dec. 2021, pp.1-6.

6.       Hongwei Peng, Chenhao Qi, Yang Chen, Qian Zhang, Dong Chen andRui Ding, Channel Modeling and Signal Transmission for Land MobileSatellite MIMO, 2021 IEEE Global Communications Conference (GlobeCOM2021),  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 2021), Madrid, Spain, Dec. 2021, pp.1-6.

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

9.       Zhaohui Li and Chenhao Qi, Beam Training with Limited Feedback for Multiuser mmWaveMassive MIMO, 2020 IEEE Global Communications Conference (GlobeCOM2020), Taipei, Taiwan, Dec. 2020, pp.1-6.

10.     Yuhan Sun, Chenhao Qi, and Geoffrey Ye Li, Computation-Aided Adaptive Codebook Design for MillimeterWave Massive MIMO, 2020 IEEE Global Communications Conference (GlobeCOM2020), Taipei, Taiwan, Dec. 2020, pp.1-6.

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

12.      Kangjian Chen, Chenhao Qi, Octavia A. Dobre and Geoffrey YeLi, Simultaneous Multiuser Beam Training using AdaptiveHierarchical Codebook for mmWave Massive MIMO, 2019 IEEE GlobalCommunications Conference (GlobeCOM 2019),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 ChannelEstimation in Millimeter Wave Massive MIMO, The EleventhInternational Conference on Wireless Communications and Signal Processing (WCSP2019), Xi'an, China, Oct. 2019, pp.1-6.( 最佳论文奖)

14.   Pu Miao, Chenhao Qi, Yi Jin, Kang Song and Teng Yu, Kernels Pruning for Volterra Digital Predistortion UsingSparse Bayesian Learning, The Eleventh International Conference onWireless Communications and Signal Processing (WCSP 2019), Xi'an,China, Oct. 2019, pp.1-6.

15.    Wenyan Ma and Chenhao Qi, ESPRIT-based Channel Estimation for Frequency-SelectiveMillimeter Wave Massive MIMO System, IEEE International Conferenceon Communications (ICC 2019), Shanghai, China, May 2019, pp.1-6.

16.    Xuyao Sun and Chenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive MIMOSystems, IEEE International Conference on Communications (ICC2019), Shanghai, China, May 2019, pp.1-6.

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

18.   Kangjian Chen and Chenhao Qi, Beam Design with Quantized Phase Shifters for MillimeterWave Massive MIMO, 2018 IEEE Global Communications Conference (GlobeCOM2018), Abu Dhabi, UAE, Dec. 2018, pp.1-6.

19.    Zhikang Xia, Chenhao Qi and Tengxiang Zhang, Model based Beamspace Channel Estimation for Millimeter WaveMassive MIMO System, The Tenth International Conference on WirelessCommunications and Signal Processing (WCSP 2018), Hangzhou,China, Oct. 2018, pp.1-6.

20.   Wenyan Ma and Chenhao Qi, Over-sampled Beamspace Channel Estimation for MillimeterWave Massive MIMO, IEEE International Conference on Communications (ICC2018), Kansas City, USA, May 2018, pp.1-6.

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

22.   Yuhan Sun and Chenhao Qi, Analog Beamforming and Combining Based on Codebook inMillimeter Wave Massive MIMO Communications, 2017 IEEE Global CommunicationsConference (GlobeCOM 2017), Singapore, Dec. 2017, pp.1-6.

23.   Xin Wang and Chenhao Qi, Algorithm for Modeling Dual-Polarized MIMO Channel in LandMobile Satellite Communications, The Ninth International Conferenceon Wireless Communications and Signal Processing (WCSP 2017),Nanjing, China, Oct. 2017, pp.1-6.

24.  Huajian Chen and Chenhao Qi, Underwater Acoustic Channel Estimation via Fast BayesianMatching Pursuit, The Ninth International Conference on WirelessCommunications and Signal Processing (WCSP 2017), Nanjing, China,Oct. 2017, pp.1-6.

25.    Pu Miao, Chenhao Qi, Lenan Wu, Bingcheng Zhu and KangjianChen, Compressed Sensing for Clipping Noise Cancellation inDCO-OFDM Systems based on Observation Interference Mitigation, TheNinth International Conference on Wireless Communications and Signal Processing(WCSP 2017), Nanjing, China, Oct. 2017, pp.1-6.

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

27.   Chenhao Qi, Yongming Huang, Shi Jin and LenanWu, Sparse Channel Estimation Based on Compressed Sensing forMassive MIMO Systems, IEEE International Conference onCommunications (ICC 2015), London, June 2015, pp. 4558-4563.

28.   Chenhao Qi and Lenan Wu, Comparisons of Channel Estimation for OFDM-based andWavelet-based Underwater Acoustic Communications, IEEE WirelessCommunications and Networking Conference (WCNC 2013), Shanghai,Apr. 2013, pp.2920-2925.

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

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

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