Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Anomaly detection in 6G networks using machine learning methods
While the cloudification of networks with a micro-services-oriented design is a well-known
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …
feature of 5G, the 6G era of networks is closely related to intelligent network orchestration …
Evolution of wireless communication to 6g: Potential applications and research directions
MZ Asghar, SA Memon, J Hämäläinen - Sustainability, 2022 - mdpi.com
The fifth-generation mobile network (5G), as the fundamental enabler of Industry 4.0, has
facilitated digital transformation and smart manufacturing through AI and cloud computing …
facilitated digital transformation and smart manufacturing through AI and cloud computing …
Machine learning for millimeter wave and terahertz beam management: A survey and open challenges
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …
CSI-impaired secure resource allocation for SWIPT-enabled full-duplex consumer Internet of Things networks in smart healthcare
S Li, C Gao, M Wei, J Zhao, P Shao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Energy efficiency is regards as an important problem in energy-limited wireless medical
sensor networks owing to the energy shortage. On the other hand, full-duplex is considered …
sensor networks owing to the energy shortage. On the other hand, full-duplex is considered …
Defensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation wireless networks
Future wireless networks (5G and beyond), also known as Next Generation or NextG, are
the vision of forthcoming cellular systems, connecting billions of devices and people …
the vision of forthcoming cellular systems, connecting billions of devices and people …
Multiple access techniques for intelligent and multi-functional 6G: Tutorial, survey, and outlook
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that
make use of the resource dimensions to serve multiple users/devices/machines/services …
make use of the resource dimensions to serve multiple users/devices/machines/services …
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks
With the rapid development of the communication industry in the fifth generation and the
advance towards the intelligent society of the sixth generation wireless networks, traditional …
advance towards the intelligent society of the sixth generation wireless networks, traditional …
Nonorthogonal multiple access multiple input multiple output communications with harvested energy: Performance evaluation
T Le‐Thanh, K Ho‐Van - ETRI Journal, 2023 - Wiley Online Library
This paper demonstrates improved throughput and energy efficiency of wireless
communications by exploiting nonorthogonal multiple access (NOMA), multiple input …
communications by exploiting nonorthogonal multiple access (NOMA), multiple input …