Large language models empowered autonomous edge AI for connected intelligence
The evolution of wireless networks gravitates towards connected intelligence, a concept that
envisions seamless interconnectivity among humans, objects, and intelligence in a hyper …
envisions seamless interconnectivity among humans, objects, and intelligence in a hyper …
Large language model enhanced multi-agent systems for 6G communications
The rapid development of the Large Language Model (LLM) presents huge opportunities for
6G communications, eg, network optimization and management by allowing users to input …
6G communications, eg, network optimization and management by allowing users to input …
Bc4llm: Trusted artificial intelligence when blockchain meets large language models
H Luo, J Luo, AV Vasilakos - arXiv preprint arXiv:2310.06278, 2023 - arxiv.org
In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's
production methods and productivity, and also changing the paradigm of scientific research …
production methods and productivity, and also changing the paradigm of scientific research …
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system
L Dong, F Jiang, M Wang, Y Peng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV)-assisted mobile
edge computing (MEC) system is widely used in temporary and emergency scenarios. Our …
edge computing (MEC) system is widely used in temporary and emergency scenarios. Our …
Semantic Communication: A Survey of Its Theoretical Development
G Xin, P Fan, KB Letaief - Entropy, 2024 - mdpi.com
In recent years, semantic communication has received significant attention from both
academia and industry, driven by the growing demands for ultra-low latency and high …
academia and industry, driven by the growing demands for ultra-low latency and high …
Diffusion-based speech enhancement with joint generative and predictive decoders
Diffusion-based generative speech enhancement (SE) has recently received attention, but
reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusion …
reverse diffusion remains time-consuming. One solution is to initialize the reverse diffusion …
Joint URLLC Traffic Scheduling and Resource Allocation for Semantic Communication Systems
Recently, deep learning (DL) based semantic communication systems have shown great
potential to improve transmission efficiency in various tasks. However, the coexisting …
potential to improve transmission efficiency in various tasks. However, the coexisting …
Semantic Communications Using Foundation Models: Design Approaches and Open Issues
Foundation models (FMs), including large language models, have become increasingly
popular due to their wide-ranging applicability and ability to understand human-like …
popular due to their wide-ranging applicability and ability to understand human-like …
Semantic information theory: Recent advances and future challenges
G Xin, P Fan, KB Letaief - 2023 - preprints.org
In recent years, semantic communication has received significant attention from both
academia and industry, driven by the growing demands for ultra-low latency and high …
academia and industry, driven by the growing demands for ultra-low latency and high …
Large Generative Model Assisted 3D Semantic Communication
Semantic Communication (SC) is a novel paradigm for data transmission in 6G. However,
there are several challenges posed when performing SC in 3D scenarios: 1) 3D semantic …
there are several challenges posed when performing SC in 3D scenarios: 1) 3D semantic …