Workshop on Advanced AI-Empowered Signal Processing and Resource Management for Next-Generation Mobile Networks
October 21, 2026 Bologna, ItalyWORKSHOP SCOPE
Recent years have witnessed remarkable progress in artificial intelligence (AI), evolving from traditional machine learning to deep neural networks and, more recently, large-scale foundation models. These advanced AI technologies are significantly reshaping the design paradigm of wireless communication systems. In next-generation mobile networks such as beyond-5G (B5G) and 6G, wireless systems are expected to operate in highly dynamic and heterogeneous environments, support massive connectivity, and enable new functionalities, such as integrated sensing and communication, “Network for AI”, et. al. These emerging requirements pose substantial challenges to conventional model-based signal processing and network optimization techniques.
Advanced AI techniques provide powerful tools to address these challenges. By leveraging large-scale data, powerful learning architectures, and adaptive decision-making mechanisms, advanced AI-empowered signal processing can significantly improve key communication tasks such as channel estimation, signal detection, interference mitigation, and adaptive waveform design. Meanwhile, AI-enabled resource management can greatly enhance both spectrum utilization and energy efficiency, improve location precision, reduce signaling overhead, and thus leverage quality-of-experience for emerging machine-type and even robot-type AI service in critical industrial operation and smart home scenario.
Furthermore, emerging paradigms such as integrated sensing and communication (ISAC), intelligent network automation, and edge AI require new frameworks that jointly consider physical-layer signal processing and network-level resource optimization. Advanced AI provides a promising pathway toward self-evolving and distributed autonomous network capable of meeting the diverse requirements of future communication systems.
This workshop aims to bring together researchers and practitioners from academia and industry to discuss recent advances in advanced AI-empowered signal processing and resource management for next-generation mobile networks. The workshop will provide a platform for presenting innovative theoretical developments, algorithm design, and practical implementations that integrate advanced AI techniques with wireless communication and networking systems.
Prospective authors are invited to submit high-quality, original manuscripts on topics including, but not limited to:
- Advanced AI-empowered signal processing for wireless communications
- Learning-based channel estimation and interference mitigation
- Advanced AI-enabled integrated sensing and communication (ISAC)
- Advanced AI-assisted resource allocation and spectrum management
- Advanced AI-driven waveform design, beamforming, and precoding
- Intelligent network optimization and self-organizing networks
- Algorithm and datasets for distributed autonomous network and edge AI
- AI-enabled immersive communication with advanced immersive codec
- Large models and foundation models for wireless communication systems
- Testbeds and experimental validation of AI-enabled wireless networks
WORKSHOP ORGANIZERS
General Chair![]() |
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| Gang Wu University of Electronic Science and Technology of China, China |
Vladimir Poulkov Technical University of Sofia, Bulgaria |
Yue Xiao University of Electronic Science and Technology of China, China |
TPC Co-Chairs
Saviour Zammit, University of Malta, Malta
Jie Tian, China Acadmy of Engineering Physics, Institute of Electronic Engineering, China
Ping Yang, University of Electronic Science and Technology of China, China
Invited Talk Co-Chairs
Yulan Gao, Royal Institute of Technology, Sweden
Shu Fang, University of Electronic Science and Technology of China, China
Workshop Co-Chairs
Kaiwen Yu, University of Electronic Science and Technology of China, China
Chaowu Wu, Chongqing University of Posts and Telecommunications, China
Publication Chair
Dengsheng Lin, University of Electronic Science and Technology of China, China
Lilin Dan, University of Electronic Science and Technology of China, China
If you have any questions about this workshop, please contact the following email addresses: xiaoyue@uestc.edu.cn
IMPORTANT DATES
Submission deadline: Aug. 1, 2026Acceptance notification: Aug. 20, 2026
Camera-ready submission: Sept. 20, 2026




