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Ms. S. Shapna Priya is an Assistant Professor in the Department of Electronics and Communication Engineering at Dhaanish Ahmed Institute of Technology (Autonomous Campus), Coimbatore, Tamil Nadu, India. Her academic interests include electronics, communication engineering, and emerging intelligent technologies. She contributes to the application of Agentic AI in 6G communication networks.
In 6G networks, intelligent agents are capable of overseeing traffic, forecasting congestion, enhancing spectrum and radio resources, administering network slices, orchestrating edge computing, adjusting reconfigurable intelligent surfaces, facilitating integrated sensing and communication, identifying cyber threats, and maximising energy efficiency. Multi-agent frameworks can allocate intelligence among user devices, base stations, edge servers, network controllers, satellites, drones, and cloud infrastructures. This section delineates an extensive structure for Agentic AI within 6G communication networks. It examines the progression toward 6G, the necessary architectural specifications, AI-centric networking, cognitive agents, network awareness, memory, reasoning, planning, tool utilisation, spectrum administration, beamforming, extensive MIMO, adaptable intelligent surfaces, cell-free architectures, terahertz transmission, semantic communication, amalgamated sensing and communication, network segmentation, edge intelligence, satellite-terrestrial convergence, digital replicas, self-governing net The discourse also encompasses performance measures and methodologies for experimental assessment. The chapter wraps up by outlining prospective research avenues related to foundational models, self-governing network orchestration, federated agentic intelligence, semantic agents, quantum-enhanced communication, and entirely adaptive AI-native 6G ecosystems.