Survey on network slicing for Internet of Things realization in 5G networks

S Wijethilaka, M Liyanage - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging technology that makes people's lives smart by
conquering a plethora of diverse application and service areas. In near future, the fifth …

Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities

LU Khan, Z Han, W Saad, E Hossain… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future wireless services will focus on improving the quality of life by enabling various
applications, such as extended reality, brain-computer interaction, and healthcare. These …

A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

A survey on beyond 5g network slicing for smart cities applications

W Rafique, J Barai, AO Fapojuwo… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Beyond fifth generation (B5G) is expected to tremendously improve network capabilities by
using a higher frequency band compared to 5G, capable of delivering higher network …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

[HTML][HTML] Ml-based 5g network slicing security: A comprehensive survey

R Dangi, A Jadhav, G Choudhary, N Dragoni… - Future Internet, 2022 - mdpi.com
Fifth-generation networks efficiently support and fulfill the demands of mobile broadband
and communication services. There has been a continuing advancement from 4G to 5G …

Deep reinforcement learning for adaptive network slicing in 5G for intelligent vehicular systems and smart cities

A Nassar, Y Yilmaz - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Intelligent vehicular systems and smart city applications are the fastest growing Internet-of-
Things (IoT) implementations at a compound annual growth rate of 30%. In view of the …

A survey on large-population systems and scalable multi-agent reinforcement learning

K Cui, A Tahir, G Ekinci, A Elshamanhory… - arxiv preprint arxiv …, 2022 - arxiv.org
The analysis and control of large-population systems is of great interest to diverse areas of
research and engineering, ranging from epidemiology over robotic swarms to economics …

Neutral host technology: The future of mobile network operators

R Bajracharya, R Shrestha, H Jung, H Shin - IEEE Access, 2022 - ieeexplore.ieee.org
The neutral host network (NHN) is a new self-contained network envisioned by fifth
generation (5G) of cellular networks, which offers wireless connection to its subscribers from …

Airborne integrated access and backhaul systems: Learning-aided modeling and optimization

N Tafintsev, D Moltchanov, A Chiumento… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The deployment of millimeter-wave (mmWave) 5G New Radio (NR) networks is hampered
by the properties of the mmWave band, such as severe signal attenuation and dynamic link …