Brief Biography

Dr. Chenhao Qi received the B.S. degree in Information Engineering with distinction from Chien-Shiung Wu Honored College of Southeast University in 2004. He received the Ph.D. degree majored in signal and information processing from Southeast University in 2010. From 2008 to 2010, he visited the Department of Electrical Engineering, Columbia University, New York, USA. Since 2010, he has been with the faculty of the School of Information Science and Engineering, Southeast University, where he is currently a full professor. His research interests include millimeter wave communications, massive MIMO, satellite communications, and intelligent signal processing. So far, he has published more than 100 journal papers and conference papers. He holds more than 20 Chinese patents and international patents. In November 2014, he was interviewed by Electronics Letters on his work of massive MIMO channel estimation. In 2019, he received IEEE Global Communications Conference (GLOBECOM) Best Paper Award as well as the International Conference on Wireless Communications and Signal Processing (WCSP) Best Paper Award. In 2022, he received IEEE International Conference on Communications in China (ICCC) Best Paper Award and his master student received IEEE Vehicular Technology Conference (VTC-Fall) Best Student Paper Award. He is an IEEE Communications Letters Exemplary Reviewer of 2017 and IEEE Communications Letters Exemplary Editor of 2018. He is also an IEEE Access Outstanding Associate Editor of 2018. He has served as an Associate Editor for IEEE Transactions on Communications, IEEE Communications Letters, IEEE Open Journal of the Communications Society, IEEE Open Journal of Vehicular Technology, IEEE Access and China Communications. He serves as a symposium Co-Chairs for international conferences including GLOBECOM, VTC and WCSP.（中文版）

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Research Interest

  1. Machine Learning and Intelligent Signal Processing
  2. Multiple-input multiple-output (MIMO) Wireless Communications
  3. Compressed Sensing and Sparse Signal Processing
  4. 5G/6G Wireless Communication Systems
  5. Satellite Communications
  6. Millimeter Wave MIMO Signal Processing
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Education

  1. Ph.D., majored in signal processing, Southeast University, Sep. 2004 – June 2010 (MPhil-PhD Track).
  2. B.S., Chien-Shiung Wu College (Honored Class), Southeast University, Sep. 2000 – June 2004.
  3. Visiting (With Prof. Xiaodong Wang), Department of Electrical Engineering, Columbia University, New York, USA, Sep. 2008 – Jan. 2010.
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Work Experience

  1. Apr. 2021–Present: Professor, School of Information Science and Engineering, Southeast University, Nanjing, China.

  2. Apr. 2014–Mar.2021: Associate Professor, School of Information Science and Engineering, Southeast University, Nanjing, China.

  3. July 2010–Mar. 2014: Assistant Professor, School of Information Science and Engineering, Southeast University, Nanjing, China.

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Publications

Journals

  1. Sileng Aer and Chenhao Qi, A Few-shot Learning-based Automatic Modulation Classification Method for Internet of Things, China Communications, accepted for publication, 2024.

  2. Kangjian Chen, Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, Triple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO, IEEE Transactions on Wireless Communications, accepted for publication, 2024. (DOI: 10.1109/TWC.2024.3351712)

  3. Kangjian Chen, Chenhao Qi, Cheng-Xiang Wang and Geoffrey Ye Li, Beam Training and Tracking for Extremely Large-Scale MIMO Communications, IEEE Transactions on Wireless Communications, accepted for publication, 2024. (DOI: 10.1109/TWC.2023.3324176)

  4. Chenhao Qi, Jinlin Hu, Yang Du, and Nallanathan Arumugam, Multiuser Beamforming for Partially-Connected Millimeter Wave Massive MIMO, IEEE Transactions on Vehicular Technology, Vol.73, No.4, pp.2696-2710, Apr. 2024. (DOI: 10.1109/TVT.2023.3331713)

  5. Kangjian Chen, Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS, IEEE Transactions on Wireless Communications, Vol.23, No.4, pp.5977-5981, Apr. 2024. (DOI: 10.1109/TWC.2023.3302319)

  6. Chenhao Qi, Jing Wang, Leyi Lyu, Lei Tan, Jinming Zhang, and Geoffrey Ye Li, Key Issues in Wireless Transmission for NTN-Assisted Internet of Things, IEEE Internet of Things Magazine, Vol.7, No.1, pp.40-46, Jan. 2024. (DOI: 10.1109/IOTM.001.2300206)

  7. Chencheng Zhang, Chenhao Qi, Arumugam Nallanathan, Fast Multibeam Training for RIS-assisted Millimeter Wave Massive MIMO, IEEE Communications Letters, Vol.28, No.1, pp.168-172, Jan. 2024. (DOI: 10.1109/LCOMM.2023.3333683)

  8. Zhenjiang Xiao, Chenhao Qi and Juan Nie, Beam Tracking based on Variable Step Beam for Millimeter Wave Massive MIMO, IEEE Communications Letters, Vol.27, No.9, pp.2417-2421, Sep. 2023.(DOI: 10.1109/LCOMM.2023.3296723)

  9. Rongshun Tang, Chenhao Qi and Yan Sun, Blockage Prediction and Fast Handover of Base Station for Millimeter Wave Communications, IEEE Communications Letters, Vol.27, No.8, pp.2142-2146, Aug. 2023. (DOI: 10.1109/LCOMM.2023.3289581)

  10. Guoli Jiang and Chenhao Qi, Near-Field Beam Training based on Deep Learning for Extremely Large-Scale MIMO, IEEE Communications Letters, Vol.27, No.8, pp.2063-2067, Aug. 2023. (DOI: 10.1109/LCOMM.2023.3289513) 

  11. Leyi Lyu and Chenhao Qi, Beam Position and Beam Hopping Design for LEO Satellite Communications, China Communications, Vol.20, No.7, pp.29-42, July 2023. (DOI: 10.23919/JCC.fa.2023-0087.202307)

  12. Zhixiong Xing, Chenhao Qi, Yiqun Cheng, Yiming Wu, Dongliang Lv and Ping Li, Covert Millimeter Wave Communications based on Beam Sweeping, IEEE Communications Letters, Vol.27, No.5, pp.1287-1291, May 2023. (DOI: 10.1109/LCOMM.2023.3257568)

  13. Chenhao Qi, Qiang Liu, Xianghao Yu and Geoffrey Ye Li, Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO, IEEE Transactions on Communications, Vol.70, No.6, pp.4121-4133, June 2022. (DOI: 10.1109/TCOMM.2022.3173304)

  14. Chenhao Qi, Wei Ci, Jinming Zhang and Xiaohu You, Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications, IEEE Communications Letters, Vol.26, No.5, pp.1136-1140, May 2022. (DOI: 10.1109/LCOMM.2022.3157751)

  15. Yujie Wang, Chenhao Qi, Ping Li, Zhaohua Lu and Ping Lu, Channel Estimation for Wideband MmWave MIMO OFDM System Exploiting Block Sparsity, IEEE Communications Letters, Vol.26, No.4, pp.897-901, Apr.  2022. (DOI: 10.1109/LCOMM.2022.3148911)

  16. Chenhao Qi, Yang Yang, Rui Ding, Shichao Jin and Dunge Liu, Multibeam Satellite Communications with Energy Efficiency Optimization, IEEE Communications Letters, Vol.26, No.4, pp.887-891, Apr. 2022. (DOI: 10.1109/LCOMM.2022.3148417)

  17. 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. (DOI: 10.1007/S11432-021-3247-2)

  18. Chenhao Qi, Kangjian Chen, Octavia A. 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. (DOI: 10.1109/TWC.2020.3019523)

  19. 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. (DOI: 10.1109/TVT.2020.3009528)

  20. Wenyan Ma, Chenhao Qi and Geoffrey Ye Li, Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO, IEEE Wireless Communications Letters, Vol.9, No.6, pp.875-878, June 2020. (DOI: 10.1109/LWC.2020.2973972)

  21. 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. (DOI: 10.1109/TCOMM.2020.2974457)

  22. 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. (DOI: 10.1109/TVT.2020.2980082)

  23. 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. (DOI: 10.1109/TWC.2020.2974728)

  24. Chenhao Qi, Huajian Chen, Yansha Deng and Nallanathan Arumugam, Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications, IEEE Wireless Communications Letters, Vol.9, No.4, pp.567-570, Apr. 2020. (DOI: 10.1109/LWC.2019.2962692)

  25. 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. (DOI: 10.1109/TSP.2019.2959250)

  26. 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. (DOI: 10.1109/TWC.2018.2889071)

  27. Xuyao Sun and Chenhao Qi, Codeword Selection and Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems, IEEE Communications Letters, Vol.23, No.2, pp.386-389, Feb. 2019. (DOI:10.1109/LCOMM.2018.2889077)

  28. Jun Tao, Chenhao Qi and Yongming Huang, Regularized Multipath Matching Pursuit for Sparse Channel Estimation in Millimeter Wave Massive MIMO System, IEEE Wireless Communications Letters, Vol.8, No.1, pp.169-172, Feb. 2019. (DOI: 10.1109/LWC.2018.2865472)

  29. Kangjian Chen and Chenhao Qi, Beam Training based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO, IEEE Communications Letters, Vol.23, No.1, pp.132-135, Jan. 2019. (DOI: 10.1109/LCOMM.2018.2881084)

  30. 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. (DOI: 10.1109/TCOMM.2018.2869562)

  31. 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. (DOI: 10.1109/TVT.2018.2875314)

  32. Pu Miao, Chenhao Qi, Lanting Fang, Kang Song and Qingkai Bu, Deep clipping noise mitigation using ISTA with the specified observations for LED-based DCO-OFDM system, IET Communications, Vol.12, No.20, pp.2582-2591, Nov. 2018. (DOI: 10.1049/IET-COM.2018.5222)

  33. 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. (DOI: 10.1109/TSP.2018.2863669)

  34. Chenhao Qi and Wang Xin, Precoding Design for Energy Efficiency of Multibeam Satellite Communications, IEEE Communications Letters, Vol.22, No.9, pp.1826-1829, Sep. 2018. (DOI: 10.1109/LCOMM.2018.2855935)

  35. Wenyan Ma and Chenhao Qi, Channel Estimation for 3-D Lens Millimeter Wave Massive MIMO System, IEEE Communications Letters, Vol.21, No.9, pp.2045-2048, Sep. 2017. (DOI: 10.1109/LCOMM.2017.2712132)

  36. Yuhan Sun and Chenhao Qi, Weighted Sum-Rate Maximization for Analog Beamforming and Combining in Millimeter Wave Massive MIMO Communications, IEEE Communications Letters, Vol.21, No.8, pp.1883-1886, Aug. 2017. (DOI: 10.1109/LCOMM.2017.2703113)

  37. Peng Chen, Chenhao Qi and Lenan Wu, Antenna Placement Optimization for Compressed Sensing-Based Distributed MIMO Radar, IET Radar, Sonar & Navigation, Vol.11, No.2, pp.285-293, Apr. 2017. (DOI: 10.1049/IET-RSN.2016.0176)

  38. 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. (DOI: 10.1109/TVT.2016.2565518)

  39. Zhen Gao, Linglong Dai, Chenhao Qi, Chau Yuen, and Zhaocheng Wang, Near-Optimal Signal Detector Based on Structured Compressive Sensing for Massive SM-MIMO, IEEE Transactions on Vehicular Technology, Vol.66, No.2, pp.1860-1865, Feb. 2017. (DOI: 10.1109/TVT.2016.2557625)

  40. Shiwen He, Chenhao Qi, Yongpeng Wu and Yongming Huang,  Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems, IEEE Access, Vol.4, pp.9895-9905, Jan. 2017. (DOI: 10.1109/ACCESS.2017.2649539)

  41. Shiwen He, Yongming Huang, Yanru Shi, Chenhao Qi, Shi Jin, and Luxi Yang, Coordinated Multicell Beamforming for Massive MIMO Systems Based on Uplink-Downlink Duality, IET Communications, Vol.10, No.17, pp.2380-2390, Nov. 2016. (DOI: 10.1049/IET-COM.2015.1045)

  42. Shiwen He, Yongming Huang, Ying Lu, Chenhao Qi, and Luxi Yang, Resource Efficiency: A New Beamforming Design for Multicell Multiuser Systems, IEEE Transactions on Vehicular Technology, Vol.65, No.8, pp.6063-6074, Aug. 2016. (DOI: 10.1109/TVT.2015.2477248)

  43. Peng Chen, Lenan Wu and Chenhao Qi, Waveform Optimization for Target Scattering Coefficients Estimation under Detection and Peak-to-Average Power Ratio Constraints in Cognitive Radar, Circuits, Systems and Signal Processing, Vol.35, No.1, pp.163-184, Jan. 2016. (DOI: 10.1007/S00034-015-0048-Y)

  44. Chenhao Qi, Lenan Wu, Yongming Huang and Arumugam 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. (DOI: 10.1109/TVT.2014.2374692)

  45. Chenhao Qi, Arumugam Nallanathan and Lenan Wu, Joint Optimization of Secret Key Capacity and Sparse Channel Estimation based on Pilot Power Allocation, Electronics Letters, Vol.51, No. 13, pp.1033-1035, June 2015. (DOI: 10.1049/EL.2014.4078)

  46. Chenhao Qi, Guosen Yue, Lenan Wu, Yongming Huang and Arumugam 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. (DOI: 10.1109/TVT.2014.2331085)

  47. Chenhao Qi and Lenan Wu, Uplink Channel Estimation for Massive MIMO Systems Exploring Joint Channel Sparsity, Electronics Letters, Vol.50, No. 23, pp.1770-1772, Nov. 2014. (DOI: 10.1049/EL.2014.2769)

  48. Chenhao Qi, Interview: “By exploring the joint sparsity of the uplink channel, the pilot overhead can be substantially reduced”, Electronics Letters, Vol.50, No. 23, pp.1650, Nov. 2014. (DOI: 10.1049/EL.2014.3788)

  49. Chenhao Qi, Guosen Yue, Lenan Wu and Arumugam 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. (DOI: 10.1109/TVT.2013.2280655)

  50. Chenhao Qi and Lenan Wu, Sparse Channel Estimation for Wavelet-based Underwater Acoustic Communications. Transactions on Emerging Telecommunications Technologies, Vol.23, No.8, pp.764-776, Dec. 2012. (DOI: 10.1002/ETT.2555)

  51. Chenhao Qi and Lenan Wu, A Study of Deterministic Pilot Allocation for Sparse Channel Estimation in OFDM Systems, IEEE Communications Letters, Vol.16, No.5, pp.742-744, May 2012. (DOI: 10.1109/LCOMM.2012.032612.112553)

  52. Chenhao Qi and Lenan Wu, Tree-based Backward Pilot Generation for Sparse Channel Estimation, Electronics Letters, Vol.48, No.9, pp.501-503, Apr. 2012. (DOI: 10.1049/EL.2012.0010)

  53. Chenhao Qi and Lenan Wu, Optimized Pilot Placement for Sparse Channel Estimation in OFDM Systems, IEEE Signal Processing Letters, Vol.18, No.12, pp.749-752, Dec. 2011. (DOI: 10.1109/LSP.2011.2170834)

  54. Chenhao Qi, Xiaodong Wang and Lenan Wu, Underwater Acoustic Channel Estimation based on Sparse Recovery Algorithms, IET Signal Processing, Vol.5, No.8, pp.739-747, Dec. 2011. (DOI: 10.1049/IET-SPR.2010.0347)

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Conferences

  1. Kangjian Chen, Chenhao Qi and Octavia A. Dobre, Beam Refinement for THz Extremely Large-Scale MIMO systems based on Gaussian Approximation, 2023 IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia, Dec. 2023, pp.4009-4014.

  2. Leyi Lyu, Chenhao Qi and Fu-Chun Zheng, Beam Position Design for Low-latency LEO Satellite Communications with Beam Hopping, IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, Sep. 2023, pp.321-325. (DOI: 10.1109/SPAWC53906.2023.10304508)

  3. Rongshun Tang, Chenhao Qi and Pengju Zhang, Block Sparse Channel Estimation based on Residual Difference and Deep Learning for Wideband MmWave Massive MIMO, IEEE 97th Vehicular Technology Conference (VTC-Spring), Florence, Italy, June 2023, pp. 1-6. (DOI: 10.1109/VTC2023-Spring57618.2023.10200898)

  4. Zhiwei Jiang, Yijin Pan and Chenhao Qi, Latency Optimization for Heterogeneous Task Offloading in Cooperative MEC Network, IEEE 97th Vehicular Technology Conference (VTC-Spring), Florence, Italy, June 2023, pp. 1-5. (DOI: 10.1109/VTC2023-Spring57618.2023.10199966)

  5. Kangjian Chen, Chenhao Qi and Octavia A. Dobre, Simultaneous Beam Training and Target Sensing for RIS-aided Integrated Sensing and Communication, 2023 IEEE International Conference on Communications (ICC), Rome, Italy, May 2023, pp.4242-4248. (DOI: 10.1109/ICC45041.2023.10279742)

  6. Kangjian Chen, Chenhao Qi and Octavia A. Dobre, Multiuser Beam Tracking and Target Detection in Integrated Sensing and Communication, 2023 IEEE International Conference on Communications (ICC), Rome, Italy, May 2023, pp.5743-5748. (DOI: 10.1109/ICC45041.2023.10279142)

  7. 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, United Kingdom, Sep. 2022, pp. 1-5. (DOI: 10.1109/VTC2022-Fall57202.2022.10012934) (Best Student Paper Award)

  8. Ying Wang and Chenhao Qi, Deep Semantic Coding for Wireless Image Retrieval, IEEE 96th Vehicular Technology Conference (VTC-Fall), London, United Kingdom, Sep. 2022, pp. 1-5. (DOI: 10.1109/VTC2022-Fall57202.2022.10012945)

  9. 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. (DOI: 10.1109/ICCC55456.2022.9880793) (Best Paper Award)

  10. 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.913-918. (DOI: 10.1109/ICC45855.2022.9838974)

  11. 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. (DOI: 10.1109/GLOBECOM46510.2021.9685146)

  12. 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. (DOI: 10.1109/GLOBECOM46510.2021.9685823)

  13. 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. (DOI: 10.1109/GLOBECOM46510.2021.9685324)

  14. 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. (DOI: 10.1109/GLOBECOM46510.2021.9685288)

  15. 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. (DOI: 10.1109/GLOBECOM42002.2020.9348205)

  16. 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. (DOI: 10.1109/GLOBECOM42002.2020.9348269)

  17. 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. (DOI: 10.1109/SPAWC48557.2020.9154276)

  18. Kangjian Chen, Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, Simultaneous Multiuser Beam Training using Adaptive Hierarchical Codebook for mmWave Massive MIMO, 2019 IEEE Global Communications Conference (GLOBECOM),Waikoloa, Hawaii, USA, Dec. 2019, pp.1-6. (DOI: 10.1109/GLOBECOM38437.2019.9013176) (Best Paper Award)

  19. 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. (DOI: 10.1109/WCSP.2019.8928030) (Best Paper Award)

  20. Pu Miao, Chenhao Qi, Yi Jin, Kang Song and Teng Yu, Kernels Pruning for Volterra Digital Predistortion Using Sparse Bayesian Learning, The Eleventh International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China, Oct. 2019, pp.1-6. (DOI: 10.1109/WCSP.2019.8928023)

  21. Wenyan Ma and Chenhao Qi, ESPRIT-based Channel Estimation for Frequency-Selective Millimeter Wave Massive MIMO System, 2019 IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. (DOI: 10.1109/ICC.2019.8761573)

  22. Xuyao Sun and Chenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive MIMO Systems, 2019 IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. (DOI: 10.1109/ICC.2019.8761756)

  23. Huajian Chen and Chenhao Qi, User Grouping for Sum-rate Maximization in Multiuser Multibeam Satellite Communications, 2019 IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. (DOI: 10.1109/ICC.2019.8761875)

  24. 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. (DOI: 10.1109/GLOCOM.2018.8647641)

  25. Zhikang Xia, Chenhao Qi and Tengxiang Zhang, Model based Beamspace Channel Estimation for Millimeter Wave Massive MIMO System, The Tenth International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, Oct. 2018, pp.1-6. (DOI: 10.1109/WCSP.2018.8555936)

  26. 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. (DOI: 10.1109/ICC.2018.8422354)

  27. 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. (DOI: 10.1109/GLOCOM.2017.8254835)

  28. 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. (DOI: 10.1109/GLOCOM.2017.8254788)

  29. Xin Wang and Chenhao Qi, Algorithm for Modeling Dual-Polarized MIMO Channel in Land Mobile Satellite Communications, The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017, pp.1-6. (DOI: 10.1109/WCSP.2017.8170880)

  30. Huajian Chen and Chenhao Qi, Underwater Acoustic Channel Estimation via Fast Bayesian Matching Pursuit, The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017, pp.1-6. (DOI: 10.1109/WCSP.2017.8171016)

  31. Pu Miao, Chenhao Qi, Lenan Wu, Bingcheng Zhu and Kangjian Chen, Compressed Sensing for Clipping Noise Cancellation in DCO-OFDM Systems based on Observation Interference Mitigation, The Ninth International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, Oct. 2017, pp.1-6. (DOI: 10.1109/WCSP.2017.8170895)

  32. 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. (DOI: 10.1109/VTCSpring.2016.7504470)

  33. 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. (DOI: 10.1109/ICC.2015.7249041)

  34. Chenhao Qi and Lenan Wu, Comparisons of Channel Estimation for OFDM-based and Wavelet-based Underwater Acoustic Communications, IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, Apr. 2013, pp.2920-2925. (DOI: 10.1109/WCNC.2013.6555025)

  35. 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. (DOI: 10.1109/ICC.2012.6363756)

  36. 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. (DOI: 10.1109/ICASSP.2011.5946229)

  37. 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. (DOI: 10.1109/VETECS.2011.5956198) 

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Awards

  • IEEE Vehicular Technology Conference (VTC-Fall) Best Student Paper Award, 2022.

  • IEEE International Conference on Communications in China (ICCC) Best Paper Award, 2022. 

  • IEEE Global Communications Conference (GLOBECOM) Best Paper Award, 2019.

  • International Conference on Wireless Communications and Signal Processing (WCSP) Best Paper Award, 2019.

  • Technical Innovation Award, Second Prize, Ministry of Education of China, 2018.

  • IEEE Communications Letters Exemplary Editor, 2018.

  • IEEE Access Outstanding Associate Editor, 2018.

  • Nanjing Excellent Paper Award, 2018.

  • IEEE Communications Letters Exemplary Reviewer, 2017.

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Professional Activities

Membership

  • Senior Member, IEEE
  • Member, ACM
  • Senior Member, China Computer Federation (CCF)
  • Senior Member, Chinese Institute of Electronics (CIE)
  • Senior Member, China Instrument and Control Society (CIS)
  • Senior Member, China Society of Image and Graphics (CSIG)
  • Committee Member, Technical Committee on Multimedia Technology, CCF
  • Committee Member, Computer Application Federation of China Instrument and Control Society (CACIS), CIS
  • Committee Member, Technical Committee on Multimedia Technology, CSIG
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TPC

  • Symposium Co-chair for Signal Processing for Communications symposium, 2023 IEEE 23rd International Conference on Communication Technology (IEEE ICCT), Wuxi, China.

  • Track Co-chair for Recent Results, 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London and Beijing.

  • Symposium Co-chair for Signal Processing for Communications (SPC) symposium, 2021 IEEE Global Communications Conference (GLOBECOM), Madrid, Spain.

  • Symposium Co-chair for Space Information and Networking Symposium, 2019 International Conference on Wireless Communications and Signal Processing (WCSP), Xi'an, China.

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Editor

  • Editor for IEEE Transactions on Communications
  • Editor for IEEE Communications Letters
  • Associate Editor for IEEE Open Journal of the Communications Society (OJCOMS)
  • Associate Editor for IEEE Open Journal of Vehicular Technology (OJVT)
  • Associate Editor for IEEE Access
  • Associate Editor for China Communications
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Teaching

  • Digital Signal Processing (for 3rd-year undergraduate students)
  • Signal Processing for Wireless Communications (for graduate students)
  • Joint Signal and Information Processing for Communications (for Ph.D. students)
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Contact Information

Room 217, Jian Xiong Yuan Building,

School of Information Science and Engineering,

Southeast University,

Nanjing 210096, China.

Email: qch@seu.edu.cn

Office: +86-25-83792443

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