A Survey on XAI for 5G and Beyond Security: Technical Aspects, Challenges and Research Directions

T Senevirathna, VH La, S Marchal… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
With the advent of 5G commercialization, the need for more reliable, faster, and intelligent
telecommunication systems is envisaged for the next generation beyond 5G (B5G) radio …

Security risks and countermeasures of adversarial attacks on AI-driven applications in 6G networks: A survey

VT Hoang, YA Ergu, VL Nguyen, RG Chang - Journal of Network and …, 2024 - Elsevier
The advent of sixth-generation (6G) networks is expected to start a new era in mobile
networks, characterized by unprecedented high demands on dense connectivity, ultra …

Wireless 6g connectivity for massive number of devices and critical services

AE Kalor, G Durisi, S Coleri, S Parkvall… - Proceedings of the …, 2024 - ieeexplore.ieee.org
Compared to the generations up to 4G, whose main focus was on broadband and coverage
aspects, 5G has expanded the scope of wireless cellular systems toward embracing two …

Sustainable and precision agriculture with the internet of everything (IoE)

AZ Babar, OB Akan - arXiv preprint arXiv:2404.06341, 2024 - arxiv.org
The accelerated pace of global population growth underscores the crucial role of the
agricultural sector in mitigating food scarcity, as well as in supporting livelihoods through …

Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research

B Brik, H Chergui, L Zanzi, F Devoti… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The recent o-ran specifications promote the evolution of ranran architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …

Machine Reasoning in FCAPS: Towards Enhanced Beyond 5G Network Management

A Mekrache, A Ksentini… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The increasing complexity of telecommunication networks has highlighted the need for
robust network management frameworks. One such framework is FCAPS, which …

Event-Triggered Reinforcement Learning Based Joint Resource Allocation for Ultra-Reliable Low-Latency V2X Communications

N Khan, S Coleri - IEEE Transactions on Vehicular Technology, 2024 - ieeexplore.ieee.org
Future 6G-enabled vehicular networks face the challenge of ensuring ultra-reliable low-
latency communication (URLLC) for delivering safety-critical information in a timely manner …

Integrating optimization theory with deep learning for wireless network design

S Coleri, AG Onalan, M di Renzo - arXiv preprint arXiv:2412.08761, 2024 - arxiv.org
Traditional wireless network design relies on optimization algorithms derived from domain-
specific mathematical models, which are often inefficient and unsuitable for dynamic, real …

Towards explainable AI for channel estimation in wireless communications

AK Gizzini, Y Medjahdi, AJ Ghandour… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Research into 6G networks has been initiated to support a variety of critical artificial
intelligence (AI) assisted applications such as autonomous driving. In such applications, AI …

Explainable AI for enhancing efficiency of DL-based channel estimation

AK Gizzini, Y Medjahdi, AJ Ghandour… - arXiv preprint arXiv …, 2024 - arxiv.org
The support of artificial intelligence (AI) based decision-making is a key element in future 6G
networks, where the concept of native AI will be introduced. Moreover, AI is widely employed …