As artificial intelligence increasingly shapes the requirements of global digital infrastructure, sixth- generation (6G) networks are anticipated to function as the foundational substrate for large-scale AI ecosystems. This Special Issue on “AI-Oriented 6G Networks” focuses on the design, optimization, and architectural evolution of 6G explicitly to enable, accelerate, and sustain AI services.

The scope covers theoretical, algorithmic, and system- level developments addressing key AI-centric requirements. Representative themes include communication-efficient distributed and federated learning; networking architectures that integrate edge, device, and in-network computing; compute- communication co-design for AI service guarantees; multi-modal sensing–communication integration; data- and model-flow optimization; and infrastructure strategies for low-latency synchronization and reliable exchange of large AI models. Contributions that investigate how 6G can meet the stringent demands of foundation-model training, multi-agent intelligence, cooperative robotics, and immersive AI applications are especially welcomed.

Please visit https://www.mdpi.com/journal/network/special_issues/GHJ60Q2XED