Organizers 组织者:

• • Chair: Jingfu Li (Assistant Professor), Southwest Jiaotong University, China
  李劲夫，助理教授，西南交通大学，jingfuli@swjtu.edu.cn，18580635120
• • Co-Chair: Pei Xiao (Professor), University of Surrey, UK
  肖培，正教授，英国萨里大学，p.xiao@surrey.ac.uk
• • Co-Chair: Jingjing Cui (Professor), Southwest Jiaotong University, China
  崔静静，正教授，西南交通大学，jingjing.cui@swjtu.edu.cn
• • Co-Chair: Chong Huang (Senior Lecturer), University of Surrey, UK
  黄翀，副教授，英国萨里大学，chong.huang@surrey.ac.uk
• • Committee Member: Jing Zhu (Research Fellow), Sun Yat-sen University, China
  朱静，助理研究员，中山大学，zhuj229@mail.sysu.edu.cn
• • Committee Member: Pengyu Gao (Research Fellow), Peng Cheng Laboratory, China
  高鹏宇，助理研究员，鹏城实验室，gaopy@pcl.ac.cn
• • Committee Member: Linsong Du (Assistant Professor), Southwest Jiaotong University, China
  杜林松，助理教授，西南交通大学，linsongdu@swjtu.edu.cn
• • Committee Member: Qingpeng Liang (Assistant Professor), Southwest Jiaotong University, China
  梁青鹏，助理教授，西南交通大学，qingpengliang@swjtu.edu.cn

Abstract 论坛简介:

This track aims to explore how artificial intelligence (AI) can reshape transmission technologies and signal processing in next-generation wireless communication systems. As 6G network rapidly evolves, the convergence of AI, advanced network architectures, and intelligent signal design is expected to significantly enhance communication efficiency, adaptability, and system reliability. This forum encourages innovative research on intelligent mechanisms, learning-driven communication models, and cross-domain integration, enabling future networks to be more autonomous, energy-efficient, and context-aware. Submissions are not limited to the listed topics, and other contributions on advanced AI-driven wireless communications are also warmly welcomed.

本专题旨在探讨人工智能（AI）如何重塑下一代无线通信系统的传输技术与信号处理。随着6G网络的快速演进，人工智能、先进网络架构与智能信号设计的融合将显著提升通信效率、适应能力和系统可靠性。本论坛鼓励在智能机制、学习驱动通信模型及跨域集成等领域的创新研究，助力未来网络实现更高程度的自主性、能效优化与情境感知能力。

Topics 主题范围:

• AI-assisted transmission and coding
  编解码技术的人工智能辅助优化
• Intelligent signal processing
  智能信号处理
• Learning-driven communication models
  学习驱动的通信模型
• Semantic communications
  语义通信
• Reconfigurable intelligent surfaces (RIS)
  可重构智能表面技术
• Cell-Free massive MIMO
  Cell-Free大规模MIMO
• Space-Air-Ground Integrated Networks (SAGIN)
  空天地一体化网络
• Integrated Sensing and Communication (ISAC)
  通信感知一体化技术
• AI-driven resource allocation and network optimization
  AI驱动的资源分配与网络优化
• Low-altitude communication networks
  低空通信网络
• Cross-layer integration and adaptive network mechanisms
  跨层集成与自适应网络机制
• Energy-efficient and autonomous wireless network design
  绿色化与自主化无线网络设计