移动通信全国重点实验室State Key Laboratory of Mobile Network Communications, Southeast University

低空智能通感课题组Low-Altitude Intelligent Communications and Sensing (LAICS) Group

探索未来无线通信的前沿技术,专注于信道知识地图 (CKM)、通信感知一体化 (ISAC)、无人机通信与近场感知等创新研究方向。Advancing next-generation wireless systems with a focus on Channel Knowledge Map (CKM), integrated sensing and communication (ISAC), UAV communications, and near-field sensing.

368Scholar 收录成果Scholar records
17+团队成员Members
42,605引用次数Citations
FellowIEEE 荣誉IEEE Fellow

论文条目与引用统计来自曾勇教授 Google Scholar 主页,更新于 2026-11-01;收录成果含期刊、会议、预印本和书籍。Publication and citation metrics from Yong Zeng’s Google Scholar profile, updated 2026-11-01; records include journal papers, conference papers, preprints and books.

前沿研究领域Frontier Research Directions

聚焦 6G 无线通信关键技术,在信道知识地图、通信感知一体化、无人机通信等领域取得突破性进展。Focusing on core 6G wireless technologies spanning Channel Knowledge Map, integrated sensing and communication, UAV networking, and near-field systems.

01

信道知识地图Channel Knowledge Map

构建环境信道特征的智能化地图,实现无线环境的精确建模与预测,为 6G 网络优化提供基础支撑。Building intelligent maps of environmental channel characteristics for precise wireless environment modeling and prediction.

CKM信道建模机器学习环境感知CKMChannel modelingMachine learningEnvironment awareness
浏览相关研究 →Explore publications →
02

通信感知一体化Integrated Sensing and Communication

融合无线通信与感知功能,实现频谱效率和硬件资源的最优利用,开启 6G 网络新范式。Integrating wireless communication and sensing functions for optimal spectrum and hardware utilization.

ISACJCAS波形设计信号处理ISACJCASWaveform designSignal processing
浏览相关研究 →Explore publications →
03

无人机通信与感知UAV Communications and Sensing

利用无人机平台实现灵活部署的无线中继、环境映射和三维覆盖,拓展网络边界。Leveraging UAV platforms for flexible wireless relaying, environment mapping, and 3D coverage.

UAV空中基站三维覆盖轨迹优化UAVAerial base stations3D coverageTrajectory optimization
浏览相关研究 →Explore publications →
04

近场感知与通信Near-Field Sensing and Communication

探索近场电磁传播新特性,开发高分辨率感知技术和新型多址接入方案。Exploring near-field electromagnetic propagation for high-resolution sensing and novel multiple access.

近场波束成形太赫兹超分辨Near-fieldBeamformingTerahertzSuper-resolution
浏览相关研究 →Explore publications →
05

无线 AIWireless AI

应用深度学习等 AI 技术解决无线信道预测、资源分配和网络优化等核心问题。Applying deep learning and AI to solve core problems in channel prediction, resource allocation, and network optimization.

深度学习信道预测智能优化Deep learningChannel predictionIntelligent optimization
浏览相关研究 →Explore publications →

代表性论文Selected Publications

探索课题组在无线通信、信道知识地图与通感一体化等领域的代表性研究成果。Explore our research in wireless communications, channel knowledge maps, and integrated sensing and communication.

综述Tutorial2026

A tutorial on MIMO-OFDM ISAC: From far-field to near-field

Qianglong Dai, Yong Zeng, Huizhi Wang, Changsheng You, Chao Zhou, Hongqiang Cheng, Xiaoli Xu, Shi Jin, A. Lee Swindlehurst, Yonina C. Eldar, Robert Schober, Rui Zhang, Xiaohu You

IEEE Communications Surveys & Tutorials 28, 4319-4358

ISACNear-fieldOFDMTutorial
引用 75Cited by 75Scholar ↗DOI ↗
BibTeX
@article{scholarvVJNg6_NJEsC,
  title={A tutorial on MIMO-OFDM ISAC: From far-field to near-field},
  author={Qianglong Dai and Yong Zeng and Huizhi Wang and Changsheng You and Chao Zhou and Hongqiang Cheng and Xiaoli Xu and Shi Jin and A. Lee Swindlehurst and Yonina C. Eldar and Robert Schober and Rui Zhang and Xiaohu You},
  journal={IEEE Communications Surveys \& Tutorials},
  year={2026},
  volume={28},
  pages={4319--4358},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/comst.2025.3650568},
  url={https://doi.org/10.1109/comst.2025.3650568}
}
综述Tutorial2026

A unified multicarrier waveform framework for next-generation wireless networks: Principles, performance, and challenges

Xingyao Zhang, Haoran Yin, Yanqun Tang, Yao Ge, Yong Zeng, Miaowen Wen, Zilong Liu, Yong Liang Guan, Hüseyin Arslan, Giuseppe Caire

IEEE Communications Surveys & Tutorials 28, 5416-5455

引用 19Cited by 19Scholar ↗DOI ↗
BibTeX
@article{scholar7VEv-pLvLSsC,
  title={A unified multicarrier waveform framework for next-generation wireless networks: Principles, performance, and challenges},
  author={Xingyao Zhang and Haoran Yin and Yanqun Tang and Yao Ge and Yong Zeng and Miaowen Wen and Zilong Liu and Yong Liang Guan and Hüseyin Arslan and Giuseppe Caire},
  journal={IEEE Communications Surveys \& Tutorials},
  year={2026},
  volume={28},
  pages={5416--5455},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/comst.2026.3672602},
  url={https://doi.org/10.1109/comst.2026.3672602}
}
综述Tutorial2025

A tutorial on movable antennas for wireless networks

Lipeng Zhu, Wenyan Ma, Weidong Mei, Yong Zeng, Qingqing Wu, Boyu Ning, Zhenyu Xiao, Xiaodan Shao, Jun Zhang, Rui Zhang

IEEE Communications Surveys & Tutorials 28, 3002-3054

Tutorial
引用 406Cited by 406Scholar ↗DOI ↗
BibTeX
@article{scholaraDl3D7KC1E4C,
  title={A tutorial on movable antennas for wireless networks},
  author={Lipeng Zhu and Wenyan Ma and Weidong Mei and Yong Zeng and Qingqing Wu and Boyu Ning and Zhenyu Xiao and Xiaodan Shao and Jun Zhang and Rui Zhang},
  journal={IEEE Communications Surveys \& Tutorials},
  year={2025},
  volume={28},
  pages={3002--3054},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/comst.2025.3546373},
  url={https://doi.org/10.1109/comst.2025.3546373}
}
高被引Highly cited2019

Energy minimization for wireless communication with rotary-wing UAV

Yong Zeng, Jie Xu, Rui Zhang

IEEE Transactions on Wireless Communications 18 (4), 2329-2345

UAV
引用 2,626Cited by 2,626Scholar ↗DOI ↗
BibTeX
@article{scholar_OXeSy2IsFwC,
  title={Energy minimization for wireless communication with rotary-wing UAV},
  author={Yong Zeng and Jie Xu and Rui Zhang},
  journal={IEEE Transactions on Wireless Communications},
  year={2019},
  volume={18},
  number={4},
  pages={2329--2345},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/twc.2019.2902559},
  url={https://doi.org/10.1109/twc.2019.2902559}
}
高被引Highly cited2017

Energy-efficient UAV communication with trajectory optimization

Yong Zeng, Rui Zhang

IEEE Transactions on Wireless Communications 16 (6), 3747-3760

UAV
引用 2,754Cited by 2,754Scholar ↗DOI ↗
BibTeX
@article{scholar4hFrxpcac9AC,
  title={Energy-efficient UAV communication with trajectory optimization},
  author={Yong Zeng and Rui Zhang},
  journal={IEEE Transactions on Wireless Communications},
  year={2017},
  volume={16},
  number={6},
  pages={3747--3760},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/twc.2017.2688328},
  url={https://doi.org/10.1109/twc.2017.2688328}
}
高被引Highly cited2016

Wireless communications with unmanned aerial vehicles: opportunities and challenges

Yong Zeng, Rui Zhang, Teng Joon Lim

IEEE Communications Magazine 54 (5), 36-42

UAV
引用 5,071Cited by 5,071Scholar ↗DOI ↗
BibTeX
@article{scholar8d8msizDQcsC,
  title={Wireless communications with unmanned aerial vehicles: opportunities and challenges},
  author={Yong Zeng and Rui Zhang and Teng Joon Lim},
  journal={IEEE Communications Magazine},
  year={2016},
  volume={54},
  number={5},
  pages={36--42},
  publisher={Institute of Electrical and Electronics Engineers (IEEE)},
  doi={10.1109/mcom.2016.7470933},
  url={https://doi.org/10.1109/mcom.2016.7470933}
}

学术视频Videos & Lectures

通过学术报告、原型系统演示与实验视频,了解我们的研究工作。Discover our research through academic talks, prototype demonstrations, and experimental videos.

OpenISAC: 一个开源的通感一体化(ISAC)实时实验平台
学术视频Academic video

OpenISAC: 一个开源的通感一体化(ISAC)实时实验平台

面向6G通感一体化(ISAC)及低空无人机通感,东南大学及紫金山实验室曾勇教授团队推出OpenISAC,一个通用且高性能的开源平台,旨在弥合理论与实践之间的差距。 它完全基于开源软件 (UHD、C++、Python) 构建,支持基于 OFDM 的实时通信和感知。其核心特性是新颖的空口 (Over-the-Air) 感知同步机制,无需有线连接即可实现稳定的双站感知。 更多信息,请查阅我们的论文,项目主页,Github链接,以及QQ群: Z. Zhou, C. Zhang, X. Xu, and Y. Zeng, "OpenISAC: An Open-Source Real-Time Experimentation Platform for OFDM-ISAC with Over-the-Air Synchronization," submitted to IEEE Trans. Wireless Commun., Jan. 2026. [arXiv] 项目主页:https://openisac.zzw123app.top/index_zh.html GitHub链接:https://github.com/zhouzhiwen2000/OpenISAC QQ群:https://qm.qq.com/q/NIQRNGb0kY

2026-02-277:42
低空无人机通信与感知2025
学术视频Academic video

低空无人机通信与感知2025

围绕低空经济及6G移动信息网络发展趋势,介绍了低空无人机通信与感知的相关理论与技术,包括:无人机通信与感知基础模型,无人机空地融合通信,无人机通信感知一体化,无人机集群通感一体化。

2025-11-021:37:49
6G超大规模MIMO近场通信与感知
学术视频Academic video

6G超大规模MIMO近场通信与感知

Extremely large-scale multiple-input multiple-output (XL-MIMO) is a natural evolution of the contemporary massive MIMO technology, which further boosts the number of antennas by at least an order of magnitude, e.g., to several hundreds or even thousands of antennas. It will unprecedentedly improve the spectral efficiency and spatial resolution for wireless communication and sensing, and thus propelling the 6G usage scenarios such as immersive communication and massive communication into a reality. However, the evolution from massive MIMO to XL-MIMO is not simply an increase in the array size, but faces new theoretical and design challenges, in terms of near-field channel modeling, performance analysis, channel estimation, and practical implementation. This tutorial aims to provide an overview on near-field XL-MIMO communications and sensing. First, the basic near-field modeling for XL-MIMO is established, by considering the new characteristics of non-uniform spherical wave (NUSW) and spatial non-stationarity. Next, based on the near-field modeling, the performance analysis of XL-MIMO communication and sensing is presented, including the near-field signal-to-noise ratio (SNR) scaling laws, beam focusing pattern, achievable rate, spatial resolution, communication and sensing degrees-of-freedom (DoF). The new communication, localization and sensing capabilities enabled by near-field effect and sparse MIMO are highlighted.

2025-04-011:20:00
信道知识地图(CKM)智能构建与应用
学术视频Academic video

信道知识地图(CKM)智能构建与应用

感谢《信息与智能学报(英文)》的邀请,做了《信道知识地图(CKM)智能构建与应用》的报告。 现有的无线通信与感知系统大多基于传统的环境未知范式,未能充分挖掘利用当地无线环境的先验信息,从而导致低效的环境感知与信道获取,难以满足未来信道大维化、节点密集化、硬件低成本化等发展需求。近年来提出的信道知识地图(Channel Knowledge Map, CKM)概念,通过融合区域内所有终端的海量历史数据,构建反映当地无线环境特征的信道知识库,从而直接根据终端位置或虚拟位置信息提前获取环境先验,赋能由传统环境未知迈向未来环境认知通信与感知的范式变革,为实现高效环境感知及信道获取提供了新思路。本报告将介绍CKM构建与应用的最新研究进展,通过讨论CKM的基本原理、基于CKM的通信与感知典型案例、基于传统及AI的CKM构建理论方法、以及初步实验验证等,试图回答关于CKM的五大关键问题(2W+3H):什么是CKM, 为何需要CKM, 如何构建及利用CKM, 以及如何进行原型验证?

2024-12-301:46:53

研究平台与工具Platforms & Tools

开放研究平台、工具箱和数据集,推动学术界协同发展。Open research platforms, tools, and resources for broader academic collaboration.

开源实验平台Open-source research platform

OpenISACOpenISAC

开源实时 OFDM 通信感知一体化实验平台,面向无线通信与感知算法验证和空口实验。An open-source real-time OFDM platform for integrated sensing and communication, supporting wireless algorithm validation and over-the-air experiments.

✓ 实时 OFDM 通感实验✓ 单基地与双基地感知✓ 空口同步✓ Real-time OFDM sensing and communication✓ Monostatic and bistatic sensing✓ Over-the-air synchronization

课题组成员Our Team

认识低空智能通感课题组的研究人员,了解我们的研究兴趣与学术工作。Meet the researchers of the LAICS Group and explore their research interests and academic work.

老师Faculty1

曾勇

曾勇Yong Zeng

教授 · 课题组负责人Professor · Principal Investigator

曾勇教授领导东南大学与紫金山实验室的低空智能通感课题组,近期研究聚焦信道知识地图、通信感知一体化、无人机通信、近场通信与超大规模 MIMO 系统。Prof. Yong Zeng leads the Low-Altitude Intelligent Communications and Sensing (LAICS) Group at Southeast University and Purple Mountain Laboratories. His recent work focuses on channel knowledge maps, integrated sensing and communication, UAV communications, near-field and XL-MIMO systems.

博士后Postdoctoral Researchers2

董珍君

董珍君Zhenjun Dong

博士后Postdoctoral Researcher

董珍君分别于2017年和2020年获得河海大学通信工程专业学士学位和南京大学电子与通信工程专业硕士学位,并于2025年获得东南大学移动通信全国重点实验室博士学位。现就职于南京紫金山实验室。主要研究方向包括超大规模MIMO通信、可重构MIMO以及信道知识地图(CKM)。Zhenjun Dong received the B.S. degree in communication engineering from Hohai University, China, in 2017, and the M.S. degree in electronic and communication engineering from Nanjing University, China, in 2020, and the Ph.D. degree from the National Mobile Communications Research Laboratory from Southeast University, China, in 2025. She is currently with Purple Mountain Laboratories, Nanjing. Her research interests include XL-MIMO communications, reconfigurable MIMO, and channel knowledge map (CKM).

汪先领

汪先领Xianling Wang

博士后Postdoctoral Researcher

汪先领分别于2020年和2026年在上海大学获得学士和博士学位,现为紫金山实验室博士后研究人员。主要研究兴趣包括面向低空场景的信道知识地图(CKM)构建、CKM动态更新,以及基于CKM的应用。Xianling Wang received his bachelor’s and Ph.D. degrees from Shanghai University, Shanghai, China, in 2020 and 2026, respectively. He is currently a Postdoctoral Researcher with Purple Mountain Laboratories, Nanjing, China. His research interests include channel knowledge map (CKM) construction for low-altitude environments, dynamic CKM updating, and CKM-enabled applications.

博士生PhD Students10

闵红旗

闵红旗Hongqi Min

博士生PhD Student

闵红旗于2019年获得中国南京东南大学电子科学与技术专业的学士学位,并于2023年获得中国上海中国科学院上海高等研究院的硕士学位。他目前正在东南大学国家移动通信研究实验室攻读博士学位。他的研究兴趣包括稀疏阵列辅助的集成传感与通信,以及稀疏超大规模多输入多输出(XL-MIMO)通信。Hongqi Min received the B.S. degree in electronic science and technology from Southeast University, Nanjing, China, in 2019, and the M.S. degree from Shanghai Advance Research Institute, Chinese Academy of Sciences, Shanghai, China, in 2023. He is currently pursuing the Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University. His research interests include sparse array-aided integrated sensing and communications and sparse extremely large-scale multiple-input multiple-output (XL-MIMO) communications.

富燊

富燊Shen Fu

博士生PhD Student

富燊于2022年获得南京邮电大学通信工程学士学位,于2023年获得香港中文大学电子工程硕士学位。目前,她正在东南大学移动通信全国重点实验室攻读博士学位。她的研究方向聚焦于信道知识地图智能构建。Shen Fu received her Bachelor of Engineering degree in Communication Engineering from Nanjing University of Posts and Telecommunications in 2022 and Master of Science degree in Electronic Engineering from The Chinese University of Hong Kong in 2023. She is currently pursuing her Doctor of Philosophy (PhD) degree at the National Mobile Communications Research Laboratory, Southeast University. Her research focuses on the intelligent construction of channel knowledge maps.

周智文

周智文Zhiwen Zhou

博士生PhD Student

周智文于2022年获得南京邮电大学电子信息工程学士学位,于2025年获得东南大学通信与信息工程硕士学位。目前,他正在东南大学移动通信全国重点实验室攻读博士学位。他的研究兴趣包括通感一体化(ISAC)和超大规模天线阵列,涵盖理论分析与算法设计,以及实时硬件实现。Zhiwen Zhou received the B.S. degree in electronic and information engineering from Nanjing University of Posts and Telecommunications, China, in 2022, and the M.S. degree in communication and information engineering from Southeast University, Nanjing, China, in 2025. He is currently pursuing the Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University, Nanjing. His research interests include integrated sensing and communication (ISAC) and extremely large-scale antenna arrays, encompassing theoretical analysis and algorithm design, as well as real-time hardware implementation.

戴强龙

戴强龙Qianglong Dai

博士生PhD Student

戴强龙于2023年获得中国南京邮电大学电子与信息工程学士学位。目前,他正在中国东南大学移动通信国家重点实验室硕博连读。他的研究兴趣包括通感一体化、正交频分复用以及近场通信与感知。Qianglong Dai received the B.S. degree in electronic and information engineering from Nanjing University of Posts and Telecommunications, China, in 2023. He is currently pursuing the dual M.S. and Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University, China. His research interests include integrated sensing and communication, orthogonal frequency division multiplexing, and near-field communication and sensing.

管淇星

管淇星Qixing Guan

博士生PhD Student

管淇星于2020年获得西南交通大学电子信息工程学士学位,于2023年获得东南大学电子信息工程硕士学位。2023年至2025年,在荣耀终端股份有限公司从事物联网及云计算开发工作。目前,他正在东南大学移动通信全国重点实验室攻读博士学位,研究兴趣包括信道知识地图(CKM)构建与应用、超可靠低时延通信(URLLC)网络编码,侧重基础理论研究。Qixing Guan received his B.E. degree in Electronic Information Engineering from Southwest Jiaotong University in 2020 and his M.E. degree in Electronic Information Engineering from Southeast University in 2023. From 2023 to 2025, he worked at Honor Device Co., Ltd., where he was engaged in the development of Internet of Things (IoT) and cloud computing. He is currently pursuing a Ph.D. at the National Mobile Communications Research Laboratory, Southeast University. His research interests include channel knowledge map (CKM) construction and applications, as well as network coding for ultra-reliable low-latency communications (URLLC), with a focus on fundamental theoretical research.

宋洋

宋洋Yang Song

博士生PhD Student

宋洋于2023年获得山东建筑大学电子信息工程学士学位,于2026年获得南京信息大学信息与通信工程硕士学位。目前,她正在东南大学移动通信全国重点实验室攻读博士学位。她的研究兴趣包括通感一体化(ISAC)和目标识别,涵盖理论分析与算法设计。Song Yang received the B.S. degree in electronic information engineering from Shandong Jianzhu University, China, in 2023, and the M.S. degree in information and communication engineering from Nanjing University of Information Science and Technology, China, in 2026. She is currently pursuing the Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China. Her research interests include integrated sensing and communication (ISAC) and target recognition, encompassing theoretical analysis and algorithm design.

蒋皓宇Haoyu Jiang

博士生PhD Student

蒋皓宇于2025年获得东南大学信息工程学士学位,目前,他正在东南大学移动通信全国重点实验室攻读博士学位。他的研究兴趣包括通感一体化(ISAC),涵盖理论分析与算法设计。Haoyu Jiang received his Bachelor of Engineering degree in Information Engineering from Southeast University in 2025. He is currently pursuing a Ph.D. degree at the National Key Laboratory of Mobile Communications, Southeast University. His research interests include Integrated Sensing and Communication (ISAC), covering theoretical analysis and algorithm design.

孔珩又

孔珩又Hengyou Kong

博士生PhD Student

孔珩又,分别于2021年和2024年在华中科技大学电子信息与通信学院获得电子信息工程学士学位和信息与通信工程硕士学位。2024年至2026年,在广州海格通信从事通信算法设计工作。目前,他正在东南大学移动通信全国重点实验室攻读博士学位,研究兴趣包括通感一体化(ISAC)波形设计与信道知识地图(CKM)应用,重点关注相关理论分析与算法设计。Hengyou Kong received the B.Eng. degree in Electronic Information Engineering in 2021 and the M.Eng. degree in Information and Communication Engineering in 2024, both from the School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China. From 2024 to 2026, he worked as a communications algorithm engineer at Haige Communications, Guangzhou, China. He is currently pursuing the Ph.D. degree with the National Mobile Communications Research Laboratory, Southeast University, Nanjing, China. His research interests include integrated sensing and communication (ISAC) waveform design and applications of channel knowledge maps (CKMs), with an emphasis on theoretical analysis and algorithm design.

朱轩承Xuancheng Zhu

博士生PhD Student

朱轩承于2026年获得东南大学信息工程学士学位,目前,他正在东南大学移动通信全国重点实验室和紫金山实验室攻读博士学位。他的研究兴趣包括超大规模MIMO通信和CKM构建与应用,涵盖理论分析与算法设计。 Xuancheng Zhu received his Bachelor's degree in Information Engineering from Southeast University in 2026. He is currently pursuing his Ph.D. at the National Key Laboratory of Mobile Communications, Southeast University and the Purple Mountain Laboratories. His research interests include XL-MIMO communications and the construction and application of CKM, covering theoretical analysis and algorithm design.

硕士生Master’s Students5

吴嘉隆

吴嘉隆Jialong Wu

硕士生Master's Student

吴嘉隆于2026年获得郑州大学学士学位,目前在东南大学信息科学与工程学院攻读硕士学位,研究方向包括通感一体化(ISAC)、正交频分复用(OFDM)感知、低空无人机目标检测与跟踪,以及基于RFSoC的实时信号处理与系统实现。Jialong Wu received the B.S. degree from Zhengzhou University, Zhengzhou, China, in 2026. He is currently pursuing the M.S. degree with the School of Information Science and Engineering, Southeast University, Nanjing, China. His research interests include integrated sensing and communication (ISAC), orthogonal frequency division multiplexing (OFDM)-based sensing, low-altitude UAV detection and tracking, and real-time signal processing and system implementation based on RFSoC platforms.

吴嘉乐

吴嘉乐Jiale Wu

硕士生Master's Student

吴嘉乐于2025年获得南京航空航天大学电子信息工程学士学位,目前在东南大学移动通信全国重点实验室攻读硕士学位,主要负责多模态CKM数据集自动化构建,目的是丰富CKMImageNet数据模态,为城市低空应用通感增强等应用提供数据基础。Jiale Wu earned a bachelor's degree in Electronic Information Engineering from Nanjing University of Aeronautics and Astronautics in 2025. He is currently pursuing a master's degree at the National Mobile Communication Key Laboratory at Southeast University, mainly in charge of the automated construction of the multimodal CKM dataset, aiming to enrich the modalities of CKM-ImageNet and provide a data foundation for applications like urban low-altitude sensing enhancement.

马慧欣

马慧欣Huixin Ma

硕士生硕士生

马慧欣于2026年获得南京航空航天大学信息工程专业学士学位。目前她正在东南大学移动通信国家重点实验室攻读硕士学位。她的研究兴趣包括复杂NLOS环境下的目标感知和定位,涵盖理论分析和算法设计。Huixin Ma received her Bachelor's degree in Information Engineering from Nanjing University of Aeronautics and Astronautics in 2026. She is pursuing a Master's degree at the National Mobile Communications Research Laboratory of Southeast University. Her research interests include target perception and localization in complex NLOS environments, covering both theoretical analysis and algorithm design.

徐可嘉

徐可嘉Kejia Xu

硕士生Master's Student

徐可嘉于2022年获得南京邮电大学通信与信息工程学院通信工程专业学士学位。正在攻读东南大学通信与信息工程硕士学位。研究兴趣包括通感一体化(ISAC)和无人机辅助通信系统设计,涵盖理论分析和算法设计。Xu Kejia received her Bachelor of Engineering degree in Communication Engineering from Nanjing University of Posts and Telecommunications in 2026. She is currently pursuing a Master's degree in Communication and Information Engineering at Southeast University. Her research interests include Integrated Sensing and Communication (ISAC) and UAV-assisted communication system design, covering theoretical analysis and algorithm design.

丁奕心

丁奕心Yixin Ding

硕士生Master's Student

丁奕心于2025年获得北京交通大学通信工程专业学士学位。目前她正在东南大学移动通信国家重点实验室攻读硕士学位。她的研究兴趣包括通感一体化(ISAC),涵盖理论分析与算法设计。同时也负责一些实时模块或系统的搭建。Yixin Ding obtained a bachelor's degree in Communication Engineering from Beijing Jiaotong University in 2025. Currently, she is pursuing a master's degree at the Key Laboratory of Mobile Communication of Southeast University. Her research interests include Integrated Sensing and Actuation (ISAC), covering both theoretical analysis and algorithm design. She is also responsible for the construction of some real-time modules or systems.

博士毕业生PhD Alumni1

陆海全

陆海全Haiquan Lu

副教授 · 博士毕业生Associate Professor · PhD Graduate

陆海全于2024年获东南大学信息与通信工程博士学位;2025年1月至9月,在澳门大学智慧城市物联网全国重点实验室担任博士后研究员;自2025年10月起,任南京理工大学电子工程与光电技术学院副教授。他的主要研究兴趣包括超大规模多输入多输出(XL-MIMO)通信和可重构MIMO。曾获2021年IEEE国际通信大会(ICC)最佳论文奖和2026年IEEE ICC Workshop最佳论文奖。Haiquan Lu received the Ph.D. degree in information and communication engineering from Southeast University, Nanjing, China, in 2024. From January 2025 to September 2025, he was a Post-Doctoral Fellow with the State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao SAR, China. Since October 2025, he has been an Associate Professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology. His research interests include extremely large-scale multiple-input multiple-output (XL-MIMO) communication and reconfigurable MIMO. He received the Best Paper Awards from the IEEE International Conference on Communications (ICC) in 2021 and the IEEE ICC Workshop in 2026.

招聘与招生Join Our Team

欢迎对 6G 无线通信研究充满热情的同学和研究人员加入课题组。We welcome students and researchers passionate about 6G wireless communications to join the lab.

博士后研究员Postdoctoral Researcher

欢迎从事无线通信、信号处理、机器学习及相关 6G 研究的博士后研究人员加入。We welcome postdoctoral researchers working in wireless communications, signal processing, machine learning, and related 6G topics.

申请要求Requirements

  • 具有通信、电子工程、信号处理或相关领域的博士学位
  • 具有良好的论文成果或科研潜力
  • 具有理论研究、算法设计或原型系统开发经验
  • 具备 MATLAB、Python 或 C/C++ 编程能力
  • Ph.D. in communications, EE, signal processing, or related area
  • Strong publication record or research potential
  • Hands-on experience in theory, algorithms, or prototyping
  • Programming ability in MATLAB, Python, or C/C++
中国南京Nanjing, China长期接受申请Rolling

博士研究生Ph.D. Student

欢迎具有通信、数学、人工智能或信号处理基础的同学申请博士研究生。Prospective Ph.D. students with strong backgrounds in communications, mathematics, AI, or signal processing are encouraged to apply.

申请要求Requirements

  • 具有扎实的数学基础
  • 对 6G、CKM、ISAC、无人机、近场或超大规模 MIMO 研究感兴趣
  • 具有良好的英文阅读和写作能力
  • 有长期从事科研的意愿
  • Strong mathematical foundation
  • Research interest in 6G, CKM, ISAC, UAV, near-field or XL-MIMO
  • Good English reading and writing skills
  • Motivation for long-term research
中国南京Nanjing, China长期接受申请Rolling

硕士研究生Master's Student

欢迎对无线通信和智能感知感兴趣的同学联系课题组,并按学校正式招生流程申请硕士研究生。Master's applicants interested in wireless communications and intelligent sensing are welcome to contact the group and follow official admission procedures.

申请要求Requirements

  • 具有相关专业的学士学位
  • 学业成绩优良
  • 有编程经验者优先
  • 对科研和实验工作感兴趣
  • Bachelor's degree in a relevant field
  • Strong academic performance
  • Programming experience preferred
  • Interest in research and experimentation
中国南京Nanjing, China长期接受申请Rolling