CFP

The topics of interest for submission include, but are not limited to:

📡AI-Enabled Wireless Communications

Machine learning for channel estimation, detection, and equalization; Deep learning for modulation recognition and signal classification; AI-based beamforming, precoding, and MIMO transmission; Intelligent interference suppression, cooperative communication, and spectrum optimization; Reinforcement learning for resource allocation, power control, and link adaptation; Intelligent scheduling and link management in wireless access networks

🌐AI-Enabled Wireless Networks

Intelligent wireless network architectures and protocols; AI-native networks for 6G; Self-organizing, adaptive, and autonomous network management; AI-based network slicing, traffic scheduling, and load balancing; Network anomaly detection, fault prediction, and operations management; Network optimization for ultra-reliable low-latency communications

🤖Wireless Edge Intelligence and Federated Learning

Wireless edge intelligence systems; Federated learning in wireless networks; Distributed machine learning and collaborative training; Lightweight models for resource-constrained devices; End-edge-cloud collaborative computing and communication optimization; Intelligent inference and decision-making on low-power terminals

📶6G and Future Wireless Systems

Key technologies, architectures, and scenarios for 6G; Intelligent air interface for 6G; Intelligent optimization for mmWave and THz communications; Massive MIMO and RIS-assisted communications; AI for integrated space-air-ground networks; AI applications in UAV, satellite, and heterogeneous networks

💬Semantic Communications and Generative AI

Theory, models, and implementations of semantic communications; Task-oriented communications and information representation; Applications of generative AI in wireless communications; Intelligent transmission and coding for content understanding; Multimodal semantic representation and coding; Learning and inference for task-oriented communications

🔍Integrated Sensing, Communication, and Computing

AI methods for integrated sensing, communication, and computing; Intelligent wireless sensing and environment modeling; Collaborative optimization and scheduling of sensing, communication, and computing; Intelligent wireless systems for industrial internet; Joint communication and sensing in vehicular networks; Digital twin-driven network optimization and management

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