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.
了解更多 Learn More 东南大学移动通信国家重点实验室 State Key Laboratory of Mobile Network Communications, Southeast University
6G 环境认知通信与感知课题组 6G Environment-Aware Communication and Sensing Lab
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.
120+ 发表论文 Publications
17+ 团队成员 Members
30000+ 引用次数 Citations
Fellow IEEE 荣誉 IEEE Fellow
概览数据基于公开资料整理，后续将持续更新。 Overview metrics are compiled from public sources and will be updated continuously.
研究方向 Research Areas
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.
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.
了解更多 Learn More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.
了解更多 Learn More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.
了解更多 Learn More太赫兹通信 Terahertz Communications
研究太赫兹频段信道特性与关键技术，为 6G 超高速通信提供解决方案。 Investigating THz channel characteristics and key technologies for 6G ultra-high-speed communications.
了解更多 Learn More无线 AI Wireless 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.
了解更多 Learn More 概念框架 Framework
6G 环境认知通信框架 6G Environment-Aware Communication Framework
通过信道知识地图实现环境与通信的深度融合，构建智能、高效、可持续的 6G 网络新范式。 Leveraging Channel Knowledge Map to fuse environment intelligence with communications for a smarter and more efficient 6G paradigm.
物理层
信道知识地图 Channel Knowledge Map CKM CKM
信道建模 Channel Modeling 信道建模 Channel Modeling
算法层
机器学习 Machine Learning ML/DL ML/DL
优化算法 Optimization 优化算法 Optimization
信道预测 Prediction 信道预测 Prediction
应用层
ISAC ISAC 通信感知一体化 Integrated Sensing & Communication
UAV UAV 无人机通信 UAV Communications
网络优化 Network Optimization 网络优化 Network Optimization
01
环境感知
Environment Awareness
通过多源数据融合实现对无线传播环境的精确感知与建模
Perceive and model the wireless environment via multi-source data fusion.
02
知识驱动
Knowledge Driven
基于信道知识地图实现通信系统的智能化决策与优化
Enable intelligent decision-making and optimization based on channel knowledge maps.
03
融合创新
Cross-domain Fusion
通信、感知、计算深度融合，开启 6G 网络新范式
Deeply integrate communication, sensing, and computing for a new 6G paradigm.
学术成果 Publications
代表性论文 Selected Publications
当前展示的是根据公开资料整理的代表性成果，后续将继续与 Scholar / BibTeX 数据源同步扩充。 Selected publications curated from public sources and ready for future Scholar / BibTeX synchronization.
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G 面向 6G 的基于信道知识地图的环境认知通信综述
IEEE Communications Surveys & Tutorials (2024)
How Much Data Is Needed for Channel Knowledge Map Construction? 信道知识地图构建究竟需要多少数据？
IEEE Transactions on Wireless Communications , Vol. 23 , No. 10 , pp. 13011-13021 (2024)
Channel Knowledge Map (CKM)-Assisted Multi-UAV Wireless Network: CKM Construction and UAV Placement 信道知识地图辅助的多无人机无线网络：CKM 构建与无人机部署
Journal of Communications and Information Networks , Vol. 8 , No. 3 , pp. 256-270 (2023)
Environment-Aware Hybrid Beamforming by Leveraging Channel Knowledge Map 利用信道知识地图的环境认知混合波束成形
IEEE Transactions on Wireless Communications (2023)
Toward Environment-Aware 6G Communications via Channel Knowledge Map 走向基于信道知识地图的环境认知 6G 通信
IEEE Wireless Communications , Vol. 28 , No. 3 , pp. 84-91 (2021)
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning 基于深度强化学习的蜂窝连接无人机同步导航与无线电地图构建
IEEE Transactions on Wireless Communications , Vol. 20 , No. 7 , pp. 4205-4220 (2021)
视频资源 Videos
学术视频 Videos & Lectures
公开报告、系统演示与课题组视频入口。当前优先接入已核验的视频资源，其他位置保留为后续扩展槽位。 Public talks, system demos, and lab video entries. Verified resources come first, with reserved slots for future expansion.
公开报告
基于信道知识地图的 OFDM 通感一体化系统：从远场到近场 基于信道知识地图的 OFDM 通感一体化系统：从远场到近场
曾勇课题组公开报告，展示基于 CKM 的免训练毫米波波束对齐、ISAC-CKM 闭环实现，以及低空场景近场通感系统。
系统演示
信道知识地图辅助高效波束对齐原型系统 信道知识地图辅助高效波束对齐原型系统
现有课题组主页中展示的原型系统视频入口，用于说明 CKM 在实时波束选择中的实验验证能力。
即将开放
实验视频集锦（待接入） 实验视频集锦（待接入）
该位置预留给课题组实验视频合集，正式上线后可接入更多 Bilibili 或本地视频资源。
即将开放
概念框架与系统讲解（待接入） 概念框架与系统讲解（待接入）
该位置预留给概念框架、课程报告和系统讲解类视频，后续可按专题归档。
服务平台 Platforms
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.
资源
Google Scholar Profile 谷歌学术主页
查看曾勇教授的完整论文列表、引用情况与时间线，用于课题组成果的权威公开入口。
✓ Author profile✓ Citation metrics✓ Latest papers
访问平台
资源
Selected Publications Archive 代表性论文归档
站内结构化论文列表，支持 DOI 跳转与 BibTeX 复制，可作为后续自动化同步的基础。
✓ Structured metadata✓ DOI links✓ BibTeX copy
访问平台
资源
Research Video Archive 研究视频归档
课题组公开视频与系统演示归档页，集中展示报告、原型系统和实验视频。
✓ Video catalog✓ Bilibili links✓ Demo index
访问平台
研究工具
CKM Workshop & Community CKM 研讨会与学术社区
面向 Channel Knowledge Map 方向的学术活动与社区入口，可作为课题组外部资源导航。
✓ Workshop info✓ Community links✓ Research topics
访问平台
即将接入Planned Integrations
这些入口已经在信息架构中预留，等课题组提供正式地址后可直接挂载。These entry points are reserved in the information architecture and can be activated once official URLs are ready.
Knowledge Base Search知识库检索入口
本地知识库检索入口预留位。当前站点已按 Pagefind/Citation.js 友好结构组织，后续可直接接入。
• Local knowledge base• Static search ready• Expandable to Meilisearch
待接入 Lab Services & Apps课题组服务与应用
预留给课题组后续提供的服务网站、应用平台和系统入口；现阶段先保留展示位，避免虚构链接。
• Service cards• Application links• Permission notes
待接入 研究团队 Team
课题组成员 Our Team
课题组围绕 6G 环境认知通信与感知持续扩展研究团队，当前主页优先展示已核验的公开信息。 The group continues to grow around 6G environment-aware communication and sensing, with this page prioritizing verified public information.
17+ 研究团队规模（公开资料） Publicly visible team scale
团队成员详细名录正在根据公开信息与课题组内部资料持续整理；当前页面优先上线经核验的 PI、研究方向与招生信息。
Detailed team rosters are still being curated from public and internal sources.
课题组长 / Principal Investigator
Yong Zeng 曾勇
Professor · Principal Investigator
Prof. Yong Zeng leads the 6G Environment-Aware Communication and Sensing 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.
加入我们 Join Us
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.
全职
Postdoctoral Researcher 博士后研究员
We welcome postdoctoral researchers working in wireless communications, signal processing, machine learning, and related 6G topics.
任职要求 / Requirements
- 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++
全职
Ph.D. Student 博士研究生
Prospective Ph.D. students with strong backgrounds in communications, mathematics, AI, or signal processing are encouraged to apply.
任职要求 / Requirements
- 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
全职
Master's Student 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.
任职要求 / Requirements
- Bachelor's degree in a relevant field
- Strong academic performance
- Programming experience preferred
- Interest in research and experimentation
申请方式 / How to Apply
请将简历和研究兴趣简介发送至 yong_zeng@seu.edu.cn，并注明申请岗位或培养层次。
Please send your CV and a short statement of research interests to yong_zeng@seu.edu.cn, and mention the position you are applying for.
yong_zeng@seu.edu.cn联系方式 / Contact
地址 / Address
南京市江宁区东南大学路 2 号
东南大学移动通信国家重点实验室
State Key Laboratory of Mobile Network Communications
Southeast University, Nanjing, China