| 職稱：教授、博導 | |||||
辦公室：beat365正版唯一九龍湖校區信息大樓426室 | ||||||
辦公電話：025-83792443 | ||||||
Email：qch@seu.edu.cn | ||||||
學習經曆： | ||||||
2000年-2004年，beat365正版唯一，強化班（現吳健雄學院），信息工程專業 2004年-2010年，beat365正版唯一，信息與通信工程專業，博士（免研并碩博連讀） 2008年-2010年，美國哥倫比亞大學，電子工程專業，訪問 | ||||||
工作經曆: | ||||||
2010年-2014年，beat365正版唯一，beat365正版唯一，講師 2014年-2021年，beat365正版唯一，beat365正版唯一，副教授 2021年-至今，beat365正版唯一，beat365正版唯一，教授 | ||||||
教授課程： | ||||||
04020204，數字信号處理（秋季，本科生專業主幹課，48學時，3學分） 04030614，國外電子信息工程專業基礎（全英文）（春季，本科生通選課，32學時，2學分） B004102，通信中的聯合信息處理（春季，博士生課程，36學時，2學分） S004216，通信信号處理（春季，研究生課程，36學時，2學分） | ||||||
研究方向： | ||||||
5G/6G無線通信、通信感知一體化、人工智能、機器學習、衛星通信、雷達信号處理、稀疏信号處理 | ||||||
獲獎情況： | ||||||
1. IEEE車載技術大會VTC-Fall最佳學生論文獎，2022 2. 國家級教學成果獎，二等獎，2022 3. IEEE中國國際無線通信大會ICCC最佳論文獎，2022 4. 江蘇省優秀碩士學位論文指導教師，2021 5. 江蘇省教學成果獎，一等獎，2021 6. 江蘇省科學技術獎三等獎，2020 7. 中國電子學會優秀碩士學位論文指導教師，2020 8. IEEE全球通信年會GLOBECOM最佳論文獎，2019 9. 無線通信與信号處理國際會議WCSP最佳論文獎，2019 10. IEEE Communications Letters Exemplary Editor，2018 11. IEEE Access Outstanding Associate Editor Award，2018 12. 教育部高等學校科學研究技術發明獎，二等獎，2018 13. 南京市第十二屆自然科學優秀學術論文獎，二等獎，2017 14. 江蘇省輕工業技術進步獎，三等獎，2017 15. 南京市科學技術進步獎，二等獎，2016 16. 中國輕工業聯合會科學技術進步獎，二等獎，2016 17. 江蘇軍民結合科技創新獎，三等獎，2013 | ||||||
論文著作： | ||||||
已發表學術論文100餘篇，特别是5G無線信道估計方面的工作受到知名SCI期刊Electronics Letters的人物專訪報道。擔任國際權威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期刊編委。獲IEEE全球通信年會GlobeCOM最佳論文獎、IEEE中國國際通信大會ICCC最佳論文獎、無線通信與信号處理國際會議WCSP最佳論文獎、IEEE車載技術年會VTC最佳學生論文獎等。
期刊論文： [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（封面論文）. [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 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 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. [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] 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 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. [10] 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. [11] 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. [12] 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. [13] 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. [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 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. [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 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. [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 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. [21] 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. [22] 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. [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, 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. [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 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. [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 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. [38] 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. [39] 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. [40] Wei Ke, Lenan Wu, and Chenhao 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 Qi and Lenan Wu. Tree-based backward pilot generation for sparse channel estimation. Electronics Letters, Vol.48, No.9, pp.501-503, Apr. 2012. [42] 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. [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.
會議論文： [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. (最佳學生論文獎) [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. (最佳論文獎) [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. [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 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. [5] 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. [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. (最佳論文獎) [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. (最佳論文獎) [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 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. [12] 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. [13] 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. [14] 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. [15] 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. [16] Wenyan Ma, Chenhao Qi, Over-sampled Beamspace Channel Estimation for Millimeter Wave Massive MIMO, 2018 IEEE 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 Qi and 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 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), pp.3488-3491, Prague, May 2011. [27] Chenhao Qi and Lenan Wu. Application of Compressed Sensing to DRM Channel Estimation. IEEE 73rd Vehicular Technology Conference (VTC-Spring), pp.1-5, Budapest, May 2011. | ||||||
科研項目： | ||||||
項目名稱 | 項目類别 | 項目時間 | 工作類别 | 項目金額 | ||
複雜電磁環境下的通信感知一體化技術研究 | 國家自然科學基金重點項目 | 2023.1-2026.12 | 應用基礎研究 | XXX萬 | ||
面向用戶服務的智能多波束賦形與空時頻抗幹擾技術 | 國家重點研發計劃項目課題 | 2021.12-2025.11 | 應用基礎研究 | XXX萬 | ||
毫米波大規模MIMO的信道狀态信息獲取與跟蹤技術研究 | 國家自然科學基金項目 | 2021.1-2024.12 | 應用基礎研究 | XXX萬 | ||
多用戶毫米波大規模MIMO系統的波束訓練與混合波束成形 | 國家自然科學基金項目 | 2019.1-2019.12 | 應用基礎研究 | XXX萬 | ||
大規模MIMO系統中信道估計與導頻設計研究 | 國家自然科學基金項目 | 2014.01-2016.12 | 應用基礎研究 | XXX萬 | ||
衛星XX理論與技術研究 | 國防預研基金（國家級） | 2015.8-2017.8 | 前沿技術研究 | XXX萬 | ||
XX系統技術 | 國防預研項目（國家級） | 2016.12-2020.9 | 應用基礎研究 | XXX萬 | ||
FDD LTE-Advanced系統試驗設備開發 | 國家科技重大專項 | 2012.1-2013.12 | 應用基礎研究 | XXX萬 | ||
5G熱點高容量場景組網技術與試驗系統研發 | 國家科技重大專項 | 2016.1.1-2017.12.31. | 應用基礎研究 | XXX萬 | ||
基于壓縮感知的OFDM信道估計理論與關鍵技術研究 | 教育部博士點基金 | 2013.1-2015.12 | 應用基礎研究 | XXX萬 | ||
水聲通信中的稀疏信号處理理論與技術研究 | 江蘇省自然科學基金（面上項目） | 2016.7-2019.6 | 應用基礎研究 | XXX萬 | ||
面向5G應用的無線寬帶物聯網傳輸設備的研發及産業化 | 江蘇省科技成果轉化項目 | 2019.3-2022.9 | 産學研 | XXX萬 | ||
毫米波MIMO通信物理層技術研究 | 中興通訊産學研合作項目 | 2019.10-2020.10 | 産學研 | XXX萬 | ||
衛星XXX | 上海航天科技創新基金項目 | 2016.7-2018.7 | 應用基礎研究 | XXX萬 | ||
星載XXX | 中國空間技術研究院創新基金 | 2010.12-2011.12. | 應用基礎研究 | XXX萬 | ||
大數據傳輸中的稀疏性研究 | 廳局級項目 | 2016.1-2017.12. | 應用基礎研究 | XXX萬 | ||
通過調幅廣播發送的農情信息服務系統 | 橫向項目 | 2012.11-2013.11. | 産學研 | XXX萬 | ||
專利： | ||||||
專利号 | 專利 | 專利類型 | ||||
ZL 202111224452.4 | 一種基于深度學習的多用戶寬帶毫米波通信資源分配方法及系統 | 發明專利授權 | ||||
ZL 202110821494.X | 一種部分連接架構下的多用戶毫米波通信波束成形方法 | 發明專利授權 | ||||
ZL 202110623890.1 | 一種基于深度強化學習的毫米波通信波束訓練方法 | 發明專利授權 | ||||
ZL 202110594475.8 | 一種智能反射表面輔助的毫米波系統中的波束訓練方法 | 發明專利授權 | ||||
ZL 201910699093.4 | 一種低複雜度毫米波多播波束成形方法 | 發明專利授權 | ||||
ZL 201910715824.X | 一種基于碼本的毫米波通信多用戶并行波束訓練方法 | 發明專利授權 | ||||
ZL 201910609278.1 | 一種基于深度學習的毫米波信道波束訓練方法 | 發明專利授權 | ||||
ZL 201910477000.3 | 一種毫米波通信的混合預編碼結構、混合合并結構及方法 | 發明專利授權 | ||||
ZL 201910910231.9 | 一種具有恒模約束的毫米波MIMO系統波束成形方法 | 發明專利授權 | ||||
ZL 201811569312.9 | 一種多波束衛星通信系統用戶分組的方法及其裝置 | 發明專利授權 | ||||
ZL 201811553452.7 | 一種毫米波通信碼本設計方法 | 發明專利授權 | ||||
ZL 201811324848.4 | 一種毫米波通信多徑信道動态波束訓練方法 | 發明專利授權 | ||||
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