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职称：教授、博导 |
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办公室：东南大学九龙湖校区信息大楼426室 |
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办公电话：025-83792443 |
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Email：qch@seu.edu.cn |
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学习经历： |
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2000年-2004年，东南大学，强化班（现吴健雄学院），信息工程专业 2004年-2010年，东南大学，信息与通信工程专业，博士（免研并硕博连读） 2008年-2010年，美国哥伦比亚大学，电子工程专业，访问 |
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工作经历: |
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2010年-2014年，东南大学，信息科学与工程学院，讲师 2014年-2021年，东南大学，信息科学与工程学院，副教授 2021年-至今，东南大学，信息科学与工程学院，教授 |
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教授课程： |
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04020204，数字信号处理（秋季，本科生专业主干课，48学时，3学分） 04030614，国外电子信息工程专业基础（全英文）（春季，本科生通选课，32学时，2学分） B004102，通信中的联合信息处理（春季，博士生课程，36学时，2学分） S004216，通信信号处理（春季，研究生课程，36学时，2学分） |
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研究方向： |
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5G/6G无线通信、通信感知一体化、人工智能、机器学习、卫星通信、雷达信号处理、稀疏信号处理 |
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获奖情况： |
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1. IEEE车载技术大会VTC-Fall最佳学生论文奖，2022 2. 国家级教学成果奖，二等奖，2022 3. IEEE中国国际无线通信大会ICCC最佳论文奖，2022 4. 江苏省优秀硕士学位论文指导教师，2021 5. 江苏省教学成果奖，一等奖，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 |
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论文著作： |
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已发表学术论文100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 Transactions on Communications、IEEE Communications Letters、IEEE Open Journal of the Communications Society、IEEE Open Journal of Vehicular Technology、IEEE Access和China Communications期刊编委。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。 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 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 Massive MIMO,IEEE Transactions on Wireless Communications, Vol.19, No.12, pp.8142-8152, Dec. 2020. [3] Zhaohui Li,Chenhao Qiand 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 Qiand 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. [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 Qiand 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] 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. [8] 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. [9] Kangjian Chen,Chenhao Qiand 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. [10] Xuyao Sun,Chenhao Qiand 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. [11] Xuyao Sun andChenhao 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. [12] Jun Tao,Chenhao Qiand 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. [13] Kangjian Chen andChenhao 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. [14] 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. [15] 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. [16] Wenyan Ma andChenhao 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. [17] 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. [18] Chenhao Qiand Wang Xin, Precoding Design for Energy Efficiency of Multibeam Satellite Communications,IEEE Communications Letters, Vol.22, No.9, pp.1826-1829, Sep. 2018. [19] 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. [20] Wenyan Ma andChenhao Qi, Channel Estimation for 3-D Lens Millimeter Wave Massive MIMO System,IEEE Communications Letters, Vol.21, No.9, pp.2045-2048, Sep. 2017. [21] Yuhan Sun, andChenhao 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. [22] Peng Chen,Chenhao Qiand 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. [23] 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. [24] 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. [25] 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. [26] 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. [27] 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. [28] Peng Chen, Lenan Wu, andChenhao 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. [29] 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. [30] 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. [31] 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) [32] 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. [33] Chenhao Qiand Lenan Wu. Uplink Channel Estimation for Massive MIMO Systems Exploring Joint Channel Sparsity.Electronics Letters, Vol.50, No. 23, pp.1770-1772, Nov. 2014. [34] 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. [35] 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. [36] 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. [37] Chenhao Qiand 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. [38] Geng Wei, Lenan Wu, Shuihua Wang, andChenhao 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. [39] Chenhao Qiand 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. [40] Wei Ke, Lenan Wu, andChenhao Qi. Spring-Model-Based Wireless Localization in Cooperative User Environments.IEICE Transactions on Communications, Vol.E95-B, No.5, pp.1860-1863, May 2012. [41] Chenhao Qiand Lenan Wu. Tree-based backward pilot generation for sparse channel estimation.Electronics Letters, Vol.48, No.9, pp.501-503, Apr. 2012. [42] Chenhao Qiand 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. [43] 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. 会议论文： [1] Ruotong Xu,Chenhao Qiand 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 andChenhao 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 Qiand 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 andChenhao 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. [1] 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. [2] 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. [3] 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. [4] Jinming Zhang andChenhao Qi, Channel Estimation for mmWave Satellite Communications with Reconfigurable Intelligent Surface,2021 IEEE Global Communications Conference (GlobeCOM), Madrid, Spain, Dec. 2021, pp.1-6. [5] Zhaohui Li andChenhao Qi, Beam Training with Limited Feedback for Multiuser mmWave Massive MIMO,2020 IEEE Global Communications Conference (GlobeCOM), Taipei, Taiwan, Dec. 2020, pp.1-6. [6] 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. [7] 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. [8] Kangjian Chen,Chenhao Qi, Octavia A. Dobre and Geoffrey Ye Li, 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.(最佳论文奖) [9] 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) [10] 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. [11] Wenyan Ma andChenhao Qi, ESPRIT-based Channel Estimation for Frequency-Selective Millimeter Wave Massive MIMO System, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [12] Xuyao Sun andChenhao Qi, Multiuser Beam Allocation for Millimeter Wave Massive MIMO Systems, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [13] Huajian Chen andChenhao Qi, User Grouping for Sum-rate Maximization in Multiuser Multibeam Satellite Communications, 2019IEEE International Conference on Communications (ICC), Shanghai, China, May 2019, pp.1-6. [14] Kangjian Chen andChenhao 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. [15] Zhikang Xia,Chenhao Qiand 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. [16] Wenyan Ma,Chenhao Qi, Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive MIMO, 2018IEEE International Conference on Communications (ICC), Kansas City, USA, May 2018, pp.1-6. [17] Yuhan Sun,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. [18] Huajian Chen,Chenhao Qi. Group Bayesian Sparse Channel Estimation for Massive MIMO Systems,2017 IEEE Global Communications Conference (GlobeCOM), Singapore, Dec. 2017, pp.1-6. [19] Huajian Chen,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. [20] Xin Wang,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. [21] Pu Miao,Chenhao Qi, Lenan Wu, Bingcheng Zhu, 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. [22] Chenhao Qi, Xin Wang, Yongming Huang. Selection of Nonzero Taps for Sparse Linear Equalizer.IEEE 83rd Vehicular Technology Conference (VTC-Spring), pp.1-5, Nanjing, China, May 2016. [23] 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), pp.4558-4563, London, June 2015. [24] Chenhao Qiand Lenan Wu. Comparisons of Channel Estimation for OFDM-based and Wavelet-based Underwater Acoustic Communications.IEEE Wireless Communications and Networking Conference (WCNC), pp.2920-2925, Shanghai, Apr. 2013. [25] Chenhao Qi, Lenan Wu and Xiaodong Wang. Underwater Acoustic Channel Estimation via Complex Homotopy.IEEE International Conference on Communications (ICC), pp. 3821-3825, Ottawa, June 2012. [26] Chenhao Qiand 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), pp.3488-3491, Prague, May 2011. [27] Chenhao Qiand Lenan Wu. Application of Compressed Sensing to DRM Channel Estimation.IEEE 73rd Vehicular Technology Conference (VTC-Spring), pp.1-5, Budapest, May 2011. |
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科研项目： |
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项目名称 |
项目类别 |
项目时间 |
工作类别 |
项目金额 |
||
复杂电磁环境下的通信感知一体化技术研究 |
国家自然科学基金重点项目 |
2023.1-2026.12 |
应用基础研究 |
XXX万 |
||
面向用户服务的智能多波束赋形与空时频抗干扰技术 |
国家重点研发计划项目课题 |
2021.12-2025.11 |
应用基础研究 |
XXX万 |
||
毫米波大规模MIMO的信道状态信息获取与跟踪技术研究 |
国家自然科学基金项目 |
2021.1-2024.12 |
应用基础研究 |
XXX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 |
XXX万 |
||
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 |
XXX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 |
XXX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 |
XXX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 |
XXX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 |
XXX万 |
||
基于压缩感知的OFDM信道估计理论与关键技术研究 |
教育部博士点基金 |
2013.1-2015.12 |
应用基础研究 |
XXX万 |
||
水声通信中的稀疏信号处理理论与技术研究 |
江苏省自然科学基金（面上项目） |
2016.7-2019.6 |
应用基础研究 |
XXX万 |
||
面向5G应用的无线宽带物联网传输设备的研发及产业化 |
江苏省科技成果转化项目 |
2019.3-2022.9 |
产学研 |
XXX万 |
||
毫米波MIMO通信物理层技术研究 |
中兴通讯产学研合作项目 |
2019.10-2020.10 |
产学研 |
XXX万 |
||
卫星XXX |
上海航天科技创新基金项目 |
2016.7-2018.7 |
应用基础研究 |
XXX万 |
||
星载XXX |
中国空间技术研究院创新基金 |
2010.12-2011.12. |
应用基础研究 |
XXX万 |
||
大数据传输中的稀疏性研究 |
厅局级项目 |
2016.1-2017.12. |
应用基础研究 |
XXX万 |
||
通过调幅广播发送的农情信息服务系统 |
横向项目 |
2012.11-2013.11. |
产学研 |
XXX万 |
||
专利： |
||||||
专利号 |
专利 |
专利类型 |
||||
ZL 202111224452.4 |
一种基于深度学习的多用户宽带毫米波通信资源分配方法及系统 |
发明专利授权 |
||||
ZL 202110821494.X |
一种部分连接架构下的多用户毫米波通信波束成形方法 |
发明专利授权 |
||||
ZL 202110623890.1 |
一种基于深度强化学习的毫米波通信波束训练方法 |
发明专利授权 |
||||
ZL 202110594475.8 |
一种智能反射表面辅助的毫米波系统中的波束训练方法 |
发明专利授权 |
||||
ZL 201910699093.4 |
一种低复杂度毫米波多播波束成形方法 |
发明专利授权 |
||||
ZL 201910715824.X |
一种基于码本的毫米波通信多用户并行波束训练方法 |
发明专利授权 |
||||
ZL 201910609278.1 |
一种基于深度学习的毫米波信道波束训练方法 |
发明专利授权 |
||||
ZL 201910477000.3 |
一种毫米波通信的混合预编码结构、混合合并结构及方法 |
发明专利授权 |
||||
ZL 201910910231.9 |
一种具有恒模约束的毫米波MIMO系统波束成形方法 |
发明专利授权 |
||||
ZL 201811569312.9 |
一种多波束卫星通信系统用户分组的方法及其装置 |
发明专利授权 |
||||
ZL 201811553452.7 |
一种毫米波通信码本设计方法 |
发明专利授权 |
||||
ZL 201811324848.4 |
一种毫米波通信多径信道动态波束训练方法 |
发明专利授权 |
||||
ZL 201710717443.6 |
多用户毫米波通信系统的波束分配方法及其装置和系统 |
发明专利授权 |
||||
ZL 201710413002.7 |
毫米波通信的十字形信道估计方法、装置及系统 |
发明专利授权 |
||||
ZL 201610592999.2 |
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