At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence

arXiv:2402.18587v1 Announce Type: cross
Abstract: The majority of data-driven wireless research leans heavily on discriminative AI (DAI) that requires vast real-world datasets. Unlike the DAI, Generative AI (GenAI) pertains to generative models (GMs) capable of discerning the underlying data distribution, patterns, and features of the input data. This makes GenAI a crucial asset in wireless domain wherein real-world data is often scarce, incomplete, costly to acquire, and hard to model or comprehend. With these appealing attributes, GenAI can replace or …

abstract arxiv cs.ai cs.lg cs.ni data data-driven datasets distribution features frontiers genai generative generative models intelligence patterns research survey tutorial type vast wireless world