Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
Statistical tools and methodologies for ultrareliable low-latency communication—a tutorial
Ultrareliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
generation (5G) and beyond cellular networks. Notably, designing and supporting URLLC …
Cyber threat intelligence sharing scheme based on federated learning for network intrusion detection
The uses of machine learning (ML) technologies in the detection of network attacks have
been proven to be effective when designed and evaluated using data samples originating …
been proven to be effective when designed and evaluated using data samples originating …
The 6G ecosystem as support for IoE and private networks: Vision, requirements, and challenges
C Serôdio, J Cunha, G Candela, S Rodriguez… - Future Internet, 2023 - mdpi.com
The emergence of the sixth generation of cellular systems (6G) signals a transformative era
and ecosystem for mobile communications, driven by demands from technologies like the …
and ecosystem for mobile communications, driven by demands from technologies like the …
Toward Supporting Holographic Services Over Deterministic 6G Integrated Terrestrial and Non-Terrestrial Networks
Driven by the emerging mission-critical applications, the need for the deterministic
networking (DetNet) capabilities of the current network infrastructure is becoming …
networking (DetNet) capabilities of the current network infrastructure is becoming …
Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions
A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …
in satellite communications. Private and government‐funded space agencies are making …
Deep-learning-based path computation without routing convergence in optical satellite networks
Low Earth orbit (LEO) satellite networks, which are composed of multiple inter-connected
satellites, have become important infrastructure for future communications. Benefiting from …
satellites, have become important infrastructure for future communications. Benefiting from …
Machine learning techniques for non-terrestrial networks
R Giuliano, E Innocenti - Electronics, 2023 - mdpi.com
Traditionally, non-terrestrial networks (NTNs) are used for a limited set of applications, such
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …
as TV broadcasting and communication support during disaster relief. Nevertheless, due to …
A novel routing control method using federated learning in Large-Scale wireless mesh networks
Y Watanabe, Y Kawamoto… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Currently, the volume of communication by mobile terminals are increasing owing to 5G and
other technologies. A robust network and appropriate routing control methods are requied to …
other technologies. A robust network and appropriate routing control methods are requied to …
Statistical tools and methodologies for URLLC-a tutorial
Ultra-reliable low-latency communication (URLLC) constitutes a key service class of the fifth
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …
generation and beyond cellular networks. Notably, designing and supporting URLLC poses …