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    硕士生导师
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    邓茜
    2023年09月12日 15:28

科系:|通信工程系|

学历职称:|博士、副教授|

导师:|信息与通信工程硕士生导师|电子信息专业硕士生导师|

研究方向:B5G/6G移动通信网络关键技术研究(智能反射面辅助无线通信技术,NOMA技术),基于人工智能的认知无人机通信网络,海上无人机组网技术

联系方式: dqian108@163.com, qdeng@hainanu.edu.cn

通讯地址:海南大学韦德体育bevictor


个人简介

邓茜,女,博士,IEEE会员。20193月获得北京邮电大学信息与通信工程专业博士学位。同年加入海南大学韦德体育bevictor(E类高层次人才)。长期担任IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, IET Communication, Electronics Letters, ETRI JournalSCI期刊的审稿人,同时担任IEEE Globecom,2020/2021IEEE ICC 2018IEEE WCNC 2018/2021IEEE MENACOMM 2018IEEE 3ICT2018/2021等通信领域旗舰和知名国际学术会议的技术委员会委员(TPC member)。目前发表在无线通信领域具有影响力的期刊包括IEEE Transactions on Green Communications and Networking,IEEE Internet of Things Journal,IEEE Systems Journal, IEEE Wireless Communications Letters, IET Communications在内的学术论文20余篇。主持和参与的科研项目主要包括海南省自然科学基金、江西省教育厅科技项目、海南大学科研启动项目、海南省重大科技项目、国家自然科学基金、国家重点基础研究发展计划等。


学术交流与荣誉

[1]三星中国研究院(北京)系统设计Lab 5G物理层算法工程师 (博士实习生)。负责Massive MIMO波束成形算法设计,从硬件有效性角度降低大规模矩阵求逆问题(2018

[2]赴韩国汉阳大学参加由中国教育部111计划和韩国科技教育部BK21项目联合发起的短期学术交流项目(2017

[3]赴新加坡参加通信领域顶级国际会议IEEE Globecom 2017,并宣讲论文(2017

[4]赴泰国参加通信领域知名国际会议IEEE WPMC 2018并宣读论文(2018

[5]赴南京参加通信领域知名国际会议IEEE WCNC 2020并宣读论文(2020

[6]获北京邮电大学优秀博士研究生光荣称号(2017

[7]获北京邮电大学泛网无线通信教育部重点实验室优秀博士研究生光荣称号(2017

[8]海南省高层次人才(2019-2024


主持和参与的科研项目

[1]海南省自然科学基金高层次人才项目,基于Massive MIMO-NOMA的毫米波通信传输理论和方法研究(项目编号: 2019RC130, 2020/01-2022/12,10,主持.

[2]海南省自然科学基金青年项目,基于频谱认知的无人机间高效通信技术,2021/01-2023/12, 5,主持.

[3]海南大学人才引进科研启动基金项目Massive MIMO系统传输理论和传输方法的研究(项目编号: KYDQ (ZR)1999, 2019/09-2024/09, 30,主持.

[4]江西省教育厅科学技术研究项目,面向5G的大规模MIMO导频设计与低复杂度收发技术研究(项目 编号: GJJ161577, 2017/01-2018/12, 2,主持,已结题.

[5]国家自然科学基金面上项目,临界态膨胀辅助放电法制备超薄微泡WGM微腔及其模式、传感特性(项目编号: 62175054, 2022/01 -2025/12, 60,第二参与,在研.

[6]海南省重大科技计划项目,南海海上通信技术研究(项目编号:ZDKJ2021022, 2021/01 -2024/12,500,参与,在研.

[7]国家自然科学基金面上项目,认知无线网络中分布式波束成形技术的研究(项目编号: 612711178, 2012/01 -2016/12, 60,参与,已结题.

[8]国家自然科学基金青年项目,基于广义因子图的非正交多址接入技术研究(项目编号: 61601047, 2017/01- 2019/12, 20,参与,已结题.

[9]国家重点基础研究发展(973)计划,378万,参与,已结题。

[10]国防预研项目,研制一款超小型***C波段宽带跳频源, 2006/09-2008/06, 20, 参与,已结题.

[11]江西省教育厅科学技术研究项目,基于稀疏特征的毫米波Massive MIMO信道估计与预编码方法的研究(项目编号: GJJ171504), 2018/01-2020/12, 2,参与,已结题.

[12] 科技部重点研发计划子课题2022/01-2024/12,190万,第一参与,在研。

[13] 武汉光电国家研究中心开放基金2020WNLOKF001,临界态膨胀辅助放电法制备超薄空心微腔及其WGM模式调控机制研究,2021.01-2023.12,12万元,在研,参与。


主要学术论文

[1] Q. Deng, G. Yu, X. Liang*, F. Shu and J. Wang, “IRS-Assisted Cognitive UAV Networks: Joint Sensing Duration, Passive Beamforming and Three-Dimensional Location Optimization,” IEEE Internet of Things Journal, 2024. (SCI期刊, 中科院分区一区, IF: 10.238).

[2] Q. Deng, X. Liang*, Q. Ni, J. Wu, Efficient Matrix Polynomial Expansion Detector for Large-scale MIMO: An Inverse-Transform-Sampling Approach. IEEE systems Journal, vol. 17, no. 1, pp.258-269, 2023. (SCI期刊, 中科院分区二, IF: 4.8)

[3] Q. Deng, X. Chen, X. Liang*, F. Shu, J. Du, G. Yu and J. Wang, “Adaptive Beam Alignment and Optimization for IRS-Aided High-Speed UAV Communications,” IEEE Transactions on Green Communications and Networking, 2023 (SCI期刊, 中科院分区二区, IF: 4.8).

[4] X. Liang, Q. Deng*, F. Shu*, J. Wang, “Energy-efficiency Joint Trajectory and Resource Allocation Optimization in Cognitive UAV Systems”, IEEE Internet of Things Journal. vol. 9, no. 22, pp. 23 058-23 071, 2022 (通讯作者, SCI期刊, 中科院, IF: 10.238)

[5] Q. Deng, G. Yu, X. Liang*, F. Shu and J. Wang, “Joint Trajectory, Sensing and Transmission Design for IRS-Assisted Cognitive UAV Systems,” IEEE Wireless Communications Letters, 2024. (SCI期刊, 中科院分区二, IF:6.3).

[6] Xiaopeng Liang, Qian Deng*, Jiaru Lin, Mengxing Huang*, “Joint Trajectory Optimization and Spectrum Access for Cognitive UAV Networks,” IEEE Access, vol.8, pp: 144693- 144703,2020 (通讯作者, SCI,中科院二区,IF: 3.75).

[7] Guangcheng Yu, Qian Deng*, Xiaopeng Liang, Feng Shu, Jiangzhou Wang, “Sensing-Transmission-Energy Trade-off for IRS-assisted Cognitive UAV Communication Systems”, IEEE Transactions on Cognitive Communications and Networking2024. (大修, 通讯作者, SCI期刊, 中科院分区一区, IF: 8.6).

[8] Xiaopeng Liang, Wenjun Xu, Hui Gao, Mao Pan, Jiaru Lin, Qian Deng, Ping Zhang, “Throughput optimization for cognitive UAV networks: A three-dimensional-location-aware approach,” IEEE Wireless Communications Letters, 2020 (SCI期刊,中科院分区二区,IF:6.3).

[9] Qian Deng, Xiaopeng Liang, Xianpeng Wang, Mengxing Huang, Chao Dong, Yufang Zhang, “Fast Converging iterative precoding for massive MIMO systems: An accelerated weighted Neumann series- steepest descent approach.” IEEE Access, vol.8, pp: 50244-50255, 2020. (SCI期刊, 中科院分区二区, IF: 3.75).

[10] Qian Deng, Li Guo, Jianru Lin, Zhihui Liu, “A Novel RZF Precoding method Based on Matrix Decomposition: Reducing Complexity in Massive MIMO Systems.” IEICE Transactions on Communications, 2016, Vol.E99-B, No.02: 439-446. (SCI期刊, 中科院分区四区, IF:1.09).

[11] Qian Deng, Li Guo, Chao Dong, Jianru Lin, Dedan Meng, Xueyan Chen, “High-throughput Signal Detection Based on Fast Matrix Inversion Updates for Uplink Multiuser Massive Multiple-input Multi-output Systems.” IET Communications, 2017, 11(14): 2228-2235. (SCI期刊, 中科院分区四区, IF: 1.779).

[12] Qian DengLi Guo, Chao Dong, Jianru Lin, Xueyan Chen, “Accelerated Widely-Linear Signal Detection by Polynomials for Over-loaded Large-scale MIMO Systems.” IEICE Transactions on Communications, 2018,Vol. E101-B, No.01: 185-194. (SCI期刊, 中科院分区四区, IF:0.58).

[13] Q. Deng, X. Chen, W. Fu, X. Liang*, S. Xie, F. Shu; Y. Wu,“ Improved Approximate Expectation Propagation Massive MIMO Detector with Second-Order Richardson,” Wireless Communications and Mobile Computing, 2022.( SCI 期刊, 中科院分区四区, IF:2.336)

[14] JingJing Liao, Qian Deng, Wen Qu, “Modulational instability for an induced field in the far-wake region of a space vehicle”, physica scripta, 2012, 85(6): 434-442 (SCI, 中科院三区, IF:2.151).

[15] Yufang Zhang, Xiaoxiang Wang, Dongyu Wang, Yibo Zhang, Qiang Zhao, Qian Deng, “ NOMA-based Cooperative Opportunistic Multicast Transmission Scheme for Two Multicast Groups: Relay Selection and Performance Analysis”, IEEE Access, 2018, 6: 62793 -62805 (SCI,中科院分区二区, IF: 4.098).

[16] Qian Deng, Li Guo, ChaoDong, Xiaopeng Liang, Jiaru Lin, “Hybrid Iterative Updates Detection Scheme for Uplink Dynamic Multiuser Massive MIMO Systems”, IEEE Globecom, 2018:1-6. (EI检索号: 201830 05614115).

[17] Xiaopeng Liang, Qian Deng*, Fang Yang, “Throughput Optimization Based on Simultaneously Decoding and Accessing in Cognitive NOMA System”, IEEE/CIC International Conference on Communications in China (ICCC), 2018:694-698 (通讯作者,EI检索号:20191206665774).  

[18] Qian Deng, Xiaopeng Liang, Yufang Zhang, “Fast Updates and High Parallelism Precoding for Downlink Large-scale MIMO Systems” IEEE International Symposium on Wireless Personal Multimedia Communi- cations (WPMC), 2018:1-6 (EI检索号:20192306996084).

[19] Qian Deng, Jiaru Lin, Xiaopeng Liang, Li Guo, “Low-complexity Signal Detection for Uplink Massive Multiuser MIMO Systems with a Dynamic Set of Users”, China Ministry of project 111 and South Korea project BK21, the 10th joint workshop between Hanyang University and BUPT, Seoul, South Korea, 2017: 1-5.

[20] Dedan Meng, Li Guo, Chao Dong, Qian Deng, Tianyu Kang, “Non-reused pilot design for large-scale multi-cell multiuser MIMO system”, IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017: 1-5, (EI检索号:2017040281969).

[21] Xueyan Chen, Li Guo, Jiaru Lin, Qian Deng, Guangqian Chu, Jingjing Huang, “Robust Beamforming and Power Splitting Ratio Optimization in Cognitive Downlink Multiuser MISO Networks”, IEEE International Symposium on Wireless Personal Multimedia Communic- ations (WPMC), 2018: 511- 515, (EI检索号: 20181805112695).

[22] Xiaopeng Liang, Wenjun Xu, Miao Pan, Qian Deng, Jiaru Lin, “Capacity Enhancement for Energy-Harvesting Cognitive Radio Networks: A NOMA-Enabled Joint Design”, IEEE Wireless Communications and Networking Conference (WCNC), 2019: 1-5 (EI检索号:20194607679697).

指导硕士研究生获得国家奖学金,指导多名本科生获得保研资格!欢迎通信工程、电子信息工程、计算机、数学等专业有志于从事5G/6G无线通信、智慧物联网、海洋通信及人工智能研究的同学踊跃报考!