Large language models for telecom: Forthcoming impact on the industry

A Maatouk, N Piovesan, F Ayed… - IEEE …, 2024 - ieeexplore.ieee.org
Large language models (LLMs)--AI-driven models that can achieve general-purpose
language understanding and generation--have emerged as a transformative force …

Distributed 3d-beam reforming for hovering-tolerant uavs communication over coexistence: A deep-q learning for intelligent space-air-ground integrated networks

S Arya, Y Peng, J Yang, Y Wang - arXiv preprint arXiv:2307.09325, 2023 - arxiv.org
In this paper, we present a novel distributed UAVs beam reforming approach to dynamically
form and reform a space-selective beam path in addressing the coexistence with satellite …

Efficient Inference Offloading for Mixture-of-Experts Large Language Models in Internet of Medical Things

X Yuan, W Kong, Z Luo, M Xu - Electronics, 2024 - mdpi.com
Despite recent significant advancements in large language models (LLMs) for medical
services, the deployment difficulties of LLMs in e-healthcare hinder complex medical …

Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity

P Geranmayeh, E Grass - IEEE Access, 2024 - ieeexplore.ieee.org
In today's and future wireless communications, especially in 5G and 6G networks, machine
learning (ML) methods are crucial. Potentially, these techniques bring many benefits such as …

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments

M Unsal, A Maatouk, A De Domenico… - arXiv preprint arXiv …, 2023 - arxiv.org
As deep learning models become increasingly large, they pose significant challenges in
heterogeneous devices environments. The size of deep learning models makes it difficult to …

Real-Time UAV Collaborative Beam Reforming for Coexistent Satellite-Terrestrial Communications

S Arya, J Yang, PT Grogan… - 2024 IEEE Aerospace …, 2024 - ieeexplore.ieee.org
This paper presents a novel collaborative UAV beam reforming approach to dynamically
form and adapt a space-selective beam path to coexist satellite and terrestrial …

[PDF][PDF] GREEN FUTURE NETWORKS: A ROADMAP TO ENERGY EFFICIENT MOBILE NETWORKS

N Alliance - 2024 - img.corrierecomunicazioni.it
The mobile industry through Next Generation Mobile Network's (NGMN), Green Future
Networks programme is working together to increase network energy efficiency (EE). This …