Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

P Ajay, B Nagaraj, R Huang - Journal of Control Science and …, 2022 - search.proquest.com
Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

A review of applications of supervised learning to future networks

S Bilson, A Thompson - 2022 - eprintspublications.npl.co.uk
NPL REPORT MS40 Page 1 NPL REPORT MS 40 A REVIEW OF APPLICATIONS OF
SUPERVISED LEARNING TO FUTURE NETWORKS BILSON, S AND THOMPSON, A …

Robust and efficient fault diagnosis of mm-wave active phased arrays using baseband signal

MH Nielsen, Y Zhang, C Xue, J Ren… - … on Antennas and …, 2022 - ieeexplore.ieee.org
One key communication block in 5G and 6G radios is the active phased array (APA). To
ensure reliable operation, efficient and timely fault diagnosis of APAs on-site is crucial. To …

Security of deep learning models in 5G networks: proposition of security assessment process

A Ftaimi, T Mazri - … , Intelligent Systems and Security: Proceedings of NISS …, 2022 - Springer
Abstract 5G networks bring a new design paradigm that will revolutionize
telecommunications and other sectors, such as industry 4.0, smart cities, and autonomous …

Hybrid beamforming with impaired elements: Design of optimized beam pattern

J Liu, X Li, T Fan, S Lv, M Shi - IET Communications, 2022 - Wiley Online Library
Abstract Millimeter‐wave (mmWave) multi‐input multi‐output systems, affected by
atmospheric conditions and hardware failure, are vulnerable to antenna element blockages …

Implications of 5G network on IoT-based healthcare systems using deep learning: A comprehensive review

NKS Kumar, VD Kumar, M Kavitha, F Alenezi, K Polat… - 2022 - researchsquare.com
A global patient-oriented approach quickly replaces the traditionally specialized healthcare
model in smart health care. Several technological breakthroughs have facilitated this …