Terahertz channel propagation phenomena, measurement techniques and modeling for 6G wireless communication applications: A survey, open challenges and …

D Serghiou, M Khalily, TWC Brown… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The Terahertz (THz) band (0.3-3.0 THz), spans a great portion of the Radio Frequency (RF)
spectrum that is mostly unoccupied and unregulated. It is a potential candidate for …

A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

Artificial intelligence for 6G networks: Technology advancement and standardization

MK Shehzad, L Rose, MM Butt… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

Signal processing and machine learning techniques for terahertz sensing: An overview

S Helal, H Sarieddeen, H Dahrouj… - IEEE Signal …, 2022 - ieeexplore.ieee.org
Following the recent progress in terahertz (THz) signal generation and radiation methods,
joint THz communications and sensing (CAS) applications are being proposed for future …

[HTML][HTML] Machine-type communications in noma-based terahertz wireless networks

SR Sabuj, M Rubaiat, M Iqbal, M Mobashera… - International Journal of …, 2022 - Elsevier
Terahertz (THz) band is one of the most promising aspects of wireless communication
systems because of its potential to meet the growing demands for the envisioned next …

Semantic communications for image-based sign language transmission

V Kouvakis, SE Trevlakis… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Semantic information representation in image-based communication often employs feature
vectors, lacking interpretability and posing challenges for human comprehension. This …

Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks

AAA Boulogeorgos, E Yaqub, R Desai… - arXiv preprint arXiv …, 2022 - arxiv.org
Terahertz (THz) wireless networks are expected to catalyze the beyond fifth generation
(B5G) era. However, due to the directional nature and the line-of-sight demand of THz links …

Optimized Load Balancing and Routing Using Machine Learning Approach in Intelligent Transportation Systems: A Survey

M Saravanan, R Devipriya, K Sakthivel… - … Conference on Hybrid …, 2022 - Springer
Abstract Mobile Adhoc Networks (MANET) evolves towards high mobility and provides better
provision for connected nodes in Vehicular Adhoc Networks (VANET) and that faces …

Terahertz Data Extraction and Analysis based on Deep Learning Techniques for Emerging Applications

M Gezimati, G Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …

[HTML][HTML] SPIS: Signal Processing for Integrated Sensing Technologies Using 6G Networks with Machine Learning Algorithms

AO Khadidos, H Manoharan, S Selvarajan… - Wireless Personal …, 2024 - Springer
The proliferation of integrated sensing techniques in Sixth Generation (6G) networks is an
increasingly significant aspect in facilitating efficient end-to-end communication for all users …