AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A unified view of how 6G communications, empowered by advanced AI and ML technologies and distributed intelligence, are expected to drive evolution and expedite the journey toward a smart and intelligent connected world is offered.
A comprehensive overview of this emerging paradigm of proactive channel cognition and reconfiguration, wherein wireless channels are no longer regarded as uncontrollable propagation media but as network resources that can be learned, predicted, and actively reconfigured.
This survey provides a comprehensive and well-structured overview of how AI is revolutionizing RIS-assisted ISAC by enabling dynamic, data-driven control over the radio environment and highlights how AI-driven RIS control enables environment-aware, low-latency, and secure ISAC operations.
A comparative analysis of key technologies in intelligent signal processing for 6G based on a literature survey indicates that AI-based methods offer superior performance and lower computational latency in complex scenarios, yet they continue to face challenges related to interpretability, generalization, and standardi...
The AISAC landscape is presented, why imperfect sensing changes the learning problem, the closed-loop architecture and its three-way sensing-communication-learning tension are developed, and a vehicular edge-intelligence use case is outlined together with open problems for theory, implementation, and standardization.
This paper presents a comprehensive framework for artificial intelligence (AI)-enabled autonomous network slicing optimization in 6G systems and investigates the application of advanced machine learning paradigms specifically deep reinforcement learning, federated learning, and generative AI to orchestrate dynamic reso...
This survey formally categorizes state-of-the-art DTN architectures into passive monitoring twins and active control twins, and provides an in-depth evaluation of their underlying enabling technologies, specifically ray-tracing, reconfigurable intelligent surfaces, artificial intelligence, and mobile edge computing.
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