Advanced deep learning models for 6G: overview, opportunities and challenges
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 …
heightened demand for advanced network intelligence to tackle the challenges of an …
Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across …
Generative AI for secure physical layer communications: A survey
Generative Artificial Intelligence (GAI) stands at the forefront of AI innovation, demonstrating
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
rapid advancement and unparalleled proficiency in generating diverse content. Beyond …
Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments
Groundbreaking applications such as ChatGPT have heightened research interest in
generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation …
generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation …
Ransomware attacks in cyber-physical systems: Countermeasure of attack vectors through automated web defenses
Ransomware has appeared to be the most damaging and devastating type of malware
attack in any cyber physical system. The resilience of a web browser to deal with the …
attack in any cyber physical system. The resilience of a web browser to deal with the …
AI and Deep Learning for THz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models
In this paper, we explore the potential of artificial intelligence (AI) to address the challenges
posed by terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) systems. We …
posed by terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) systems. We …
Recent advances in deep learning for channel coding: A survey
T Matsumine, H Ochiai - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive survey of recent advances in deep learning (DL)
techniques for channel coding problems. Inspired by the recent successes of DL in a variety …
techniques for channel coding problems. Inspired by the recent successes of DL in a variety …
An Investigation on Open-RAN Specifications: Use Cases, Security Threats, Requirements, Discussions.
The emergence of various technologies such as terahertz communications, Reconfigurable
Intelligent Surfaces (RIS), and AI-powered communication services will burden network …
Intelligent Surfaces (RIS), and AI-powered communication services will burden network …
Image Generation with Multimodule Semantic Feature-Aided Selection for Semantic Communications
C Liang, D Li - arXiv preprint arXiv:2411.17428, 2024 - arxiv.org
Semantic communication (SemCom) has emerged as a promising technique for the next-
generation communication systems, in which the generation at the receiver side is allowed …
generation communication systems, in which the generation at the receiver side is allowed …
Reasoning AI Performance Degradation in 6G Networks with Large Language Models
L Huang, Y Wu, D Simeonidou - arXiv preprint arXiv:2408.17097, 2024 - arxiv.org
The integration of Artificial Intelligence (AI) within 6G networks is poised to revolutionize
connectivity, reliability, and intelligent decision-making. However, the performance of AI …
connectivity, reliability, and intelligent decision-making. However, the performance of AI …