Track 13: New Paradigm of Intelligent Electromagnetic Channels for 6G | 面向6G的电磁信道智能新范式

Organizers | 组织者

Abstract | 论坛简介

In the evolution toward 6G, the electromagnetic channel serves as the critical link between the physical environment and communication-sensing performance, becoming a key breakthrough point to overcome bottlenecks in traditional technologies. This forum aims to bring together top scholars and engineers to explore three core dimensions: first, the perception, modeling, and dynamic updating of refined electromagnetic information under multi-band and multi-scenario conditions; second, AI-driven innovations in foundational models for channel feature extraction, compression, and extrapolation; and third, the enabling applications of emerging electromagnetic maps in typical 6G scenarios such as target sensing, intelligent beamforming, cell-free networks, and Integrated Sensing, Communication, and Computation (ISCC). Through in-depth discussions, we expect to clarify key technical paths, promote interdisciplinary integration, and jointly drive channel cognition from statistical representation toward an interpretable and inferable intelligent new paradigm.

在无线通信向6G演进的进程中，电磁信道作为连接物理环境与通信感知性能的关键纽带，正逐步成为突破传统通信与感知技术瓶颈的重要突破口。本次前沿论坛旨在汇聚该领域的顶尖学者与工程师，聚焦三大核心维度展开深入交流：一是多频段、多场景条件下精细化电磁信息的感知、模型构建与动态更新技术；二是人工智能驱动的信道特征提取、压缩与外推等基础模型创新；三是新兴电磁图谱在目标感知、智能波束赋形、无蜂窝网络及通感算一体化等6G典型场景中的赋能应用。论坛期望通过深度研讨，厘清关键技术路径，促进跨学科深度融合，共同推动信道认知从统计表征迈向可解释、可推演的智能新范式。

Topics | 主题范围

• New theories and paradigms of electromagnetic channels for 6G | 面向6G的电磁信道新理论与新范式
• Multi-band (Sub-6G, mmWave, THz) channel measurement and modeling | 多频段（Sub-6G、毫米波、太赫兹）电磁信道测量与建模
• Channel sensing and cognitive methods in Space-Air-Ground Integrated Networks (SAGIN) | 空天地一体化（SAGIN）场景下的信道感知与认知方法
• Statistical modeling and parameter evolution of non-stationary, time-varying channels | 非平稳、时变电磁信道的统计建模与参数演化机制
• Electromagnetic environment sensing and physically interpretable channel modeling | 电磁环境感知与物理可解释信道建模方法
• AI-based channel parameter extraction, feature compression, and extrapolation | 基于AI的信道参数提取、特征压缩与外推预测
• Intelligent channel modeling via fusion of data-driven and model-driven approaches | 数据驱动与模型驱动融合的智能信道建模方法
• Construction, update, and high-dimensional representation of electromagnetic maps | 电磁图谱构建、更新与高维表达技术
• Channel modeling and sensing coordination for Integrated Sensing and Communication (ISAC) | 面向通感一体化的信道建模与感知协同机制
• Channel knowledge-aided intelligent beamforming and resource optimization | 信道知识辅助的智能波束赋形与资源优化
• Channel modeling and collaborative sensing for Cell-Free networks | 面向无蜂窝网络的信道建模与协同感知
• Applications of electromagnetic channels in target sensing, localization, and environmental reconstruction | 电磁信道在目标感知、定位与环境重构中的应用
• Integrated Communication-Sensing-Computing channel design for 6G | 面向6G的通信–感知–计算一体化信道设计
• Digital twin electromagnetic environments and virtual-real fusion channel modeling | 数字孪生电磁环境与虚实融合信道建模
• Novel measurement platforms, experimental methods, and open datasets | 新型测量平台、实验方法与开放数据集
• Application of explainable AI in electromagnetic channel modeling and inference | 可解释AI在电磁信道建模与推演中的应用