Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …

The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

Abstract The CSGM framework (Bora-Jalal-Price-Dimakis' 17) has shown that
deepgenerative priors can be powerful tools for solving inverse problems. However, to date …

Wireless communication at the terahertz (THz) frequency bands (0.1–10 THz) is viewed as
one of the cornerstones of tomorrow's 6G wireless systems. Owing to the large amount of …

Channel estimation is a critical task in multiple-input multiple-output (MIMO) digital
communications that substantially affects end-to-end system performance. In this work, we …

The success of artificial intelligence (AI) in multiple disciplines and vertical domains in recent
years has promoted the evolution of mobile networking and the future Internet toward an AI …

The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Communication at high carrier frequencies such as millimeter wave (mmWave) and
terahertz (THz) requires channel estimation for very large bandwidths at low SNR. Hence …

The use of terahertz (THz) frequencies has been recommended to achieve high-speed and
ultra-low latency transmissions. Although there exist very large bandwidths in the THz …

This white paper on AI/ML as enablers of 5G and B5G networks is based on contributions
from 5G PPP projects that research, implement and validate 5G and B5G network systems …