AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

A Survey of PAPR Techniques Based on Machine Learning

BSC da Silva, VDP Souto, RD Souza, LL Mendes - Sensors, 2024 - mdpi.com
Orthogonal Frequency Division Multiplexing (OFDM) is the modulation technology used in
Fourth Generation (4G) and Fifth Generation (5G) wireless communication systems, and it …

Disruptive 6G architecture: Software-centric, AI-driven, and digital market-based mobile networks

AM Alberti, DGS Pivoto, TT Rezende, AVA Leal… - Computer Networks, 2024 - Elsevier
Mobile communications have followed a progression model detailed by the Gartner hype
cycle, from a proof-of-concept to widespread productivity. As fifth-generation (5G) mobile …

Denoising diffusion probabilistic models for hardware-impaired communications

M Letafati, S Ali, M Latva-Aho - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
Generative AI has received significant attention among a spectrum of diverse industrial and
academic domains, thanks to the magnificent results achieved from deep generative models …

Semantic communication enhanced by knowledge graph representation learning

N Hello, P Di Lorenzo, EC Strinati - 2024 IEEE 25th …, 2024 - ieeexplore.ieee.org
This paper investigates the advantages of representing and processing semantic knowledge
extracted into graphs within the emerging paradigm of semantic communications. The …

Optimizing multicarrier multiantenna systems for los channel charting

T Yassine, L Le Magoarou, M Crussière… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Channel charting (CC) consists in learning a map** between the space of raw channel
observations, made available from pilot-based channel estimation in multicarrier …

[PDF][PDF] WiGenAI: The symphony of wireless and generative AI via diffusion models

M Letafati, S Ali, M Latva-aho - ar** with denoising diffusion probabilistic models: A novel approach
M Letafati, S Ali, M Latva-aho - arxiv preprint arxiv:2309.08688, 2023 - arxiv.org
With the incredible results achieved from generative pre-trained transformers (GPT) and
diffusion models, generative AI (GenAI) is envisioned to yield remarkable breakthroughs in …

AI-Native Multi-Access Future Networks-The REASON Architecture

K Katsaros, I Mavromatis, K Antonakoglou… - IEEE …, 2024 - ieeexplore.ieee.org
The development of the sixth generation of communication networks (6G) has been gaining
momentum over the past years, with a target of being introduced by 2030. Several initiatives …

When and how to update AI/ML models in 6G resource-constrained network domains?

F Brito, JC Cisneros, Z Ghebretensaé… - 2024 Joint European …, 2024 - ieeexplore.ieee.org
Artificial intelligence and Machine Learning (AI/ML) are steadily becoming widespread
across all layers in the current mobile network generation. The next generation of networks …