领域：新一代信息技术产业 学校：东南大学职称：副教授
5G/6G无线通信、人工智能、机器学习、卫星通信、水声通信、雷达信号处理、稀疏信号处理
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2000年9月-2004年6月，东南大学，强化班（现吴健雄学院），信息工程专业，本科
2004年9月-2010年6月，东南大学，信号与信息处理专业，博士（硕博连读）
2008年9月-2010年1月，美国哥伦比亚大学，电子工程专业，国家留学基金委联合培养博士生
工作经历
:
2010年8月-2014年3月，东南大学，信息科学与工程学院，讲师
2014年4月-至今，东南大学，信息科学与工程学院，副教授
项目课题经历
项目名称
项目类别
项目时间
工作类别
项目金额
大规模MIMO系统中信道估计与导频设计研究
国家自然科学基金项目
2014.01-2016.12
应用基础研究
XX万
多用户毫米波大规模MIMO系统的波束训练与混合波束成形
国家自然科学基金项目
2019.1-2019.12
应用基础研究
XX万
卫星XX理论与技术研究
国防预研基金（国家级）
2015.8-2017.8
前沿技术研究
XX万
XX系统技术
国防预研项目（国家级）
2016.12-2020.9
应用基础研究
XX万
FDD LTE-Advanced系统试验设备开发
国家科技重大专项
2012.1-2013.12
应用基础研究
XX万
5G热点高容量场景组网技术与试验系统研发
国家科技重大专项
2016.1.1-2017.12.31.
应用基础研究
XX万
基于压缩感知的OFDM信道估计理论与关键技术研究
论文、成果、著作等
已发表学术论文80余篇，特别是5G无线信道估计方面的工作受到知名SCI期刊Electronics Letters的人物专访报道。担任国际权威SCI期刊IEEE Communications Letters和IEEE Access编委。
期刊论文
[1]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, 2019.
[2]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.
[3]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.
[4]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.
[5]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.
[6]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.
[7]Miao Pu, Bingcheng Zhu, Chenhao Qi, Yi Jin and Chong Lin A Model-Driven Deep Learning Method for LED Nonlinearity Mitigation in OFDM-based Optical Communications, IEEE Access, Vol.7, No.1, pp.71436-71446, Dec.2019.
[8]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.
[9]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.
[10]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.
[11]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.
[12]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.
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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.
[20]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.
[21]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.
[22]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.
[23]Chenhao Qi, Yongming Huang, and Shi Jin. An Overview of Massive MIMO System, Journal of Data Acquisition and Processing (in Chinese), Vol.30, No.3, pp.544-551, May 2015.(Invited)
[24]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.
[25]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.
[26]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.
[27]Chenhao Qi, Lenan Wu, and Pengcheng Zhu. Sparse Channel Estimation and Pilot Optimization for Cognitive Radio. Journal of Electronics & Information Technology (in Chinese), Vol. 36, No.4, pp. 763-768, Apr. 2014.
[28]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.
[29]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.
[30]Geng Wei, Lenan Wu, Shuihua Wang, and Chenhao Qi. Fast Mode Selection for H.264 Video Coding Standard based on Motion Region Classification. Multimedia Tools and Applications, Vol.58, No.3, pp.453-466, June 2012.
[31]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.
