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

As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a profound fusion with novel communication paradigms and emerging technological trends, bringing once-futuristic visions to life along with added technical intricacies. Although analytical models lay the foundat...

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Bibliographic Details
Published in:	IEEE open journal of the Communications Society Vol. 5; pp. 2433 - 2489
Main Authors:	Celik, Abdulkadir, Eltawil, Ahmed M.
Format:	Journal Article
Language:	English
Published:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	6G mobile communication adversarial ML AI-generated content Antenna arrays Artificial intelligence artificial intelligence (AI) autoregressive generative models Autoregressive models Communication system security Communications traffic Data models deep learning (DL) Design optimization diffusion models Digital twins discriminative AI Edge computing explainable AI extremely large antenna arrays Generative adversarial networks generative AI Generative artificial intelligence generative models generative pre-trained transformers generative transformers holographic beamforming integrated sensing and communications Large language models Machine learning machine learning (ML) mMIMO mmWave Mobile computing Near field communication network function virtualization Network management systems normalizing flows open RAN semantic communications software defined networks Surveys Taxonomy Technical papers terahertz trustworthy AI variational autoencoders Wireless communication zero-touch service management
ISSN:	2644-125X, 2644-125X
Online Access:	Get full text
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