On softwarization of intelligence in 6G networks for ultra-fast optimal policy selection: Challenges and opportunities

S Hashima, ZM Fadlullah, MM Fouda… - IEEE …, 2022 - ieeexplore.ieee.org
The emerging Sixth Generation (6G) communication networks promising 100 to 1000 Gb/s
rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial …

Artificial-intelligence-enabled intelligent 6G networks

H Yang, A Alphones, Z Xiong, D Niyato, J Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
With the rapid development of smart terminals and infrastructures, as well as diversified
applications (eg, virtual and augmented reality, remote surgery and holographic projection) …

Toward native artificial intelligence in 6G networks: System design, architectures, and paradigms

J Wu, R Li, X An, C Peng, Z Liu, J Crowcroft… - arXiv preprint arXiv …, 2021 - arxiv.org
The mobile communication system has transformed to be the fundamental infrastructure to
support digital demands from all industry sectors, and 6G is envisioned to go far beyond the …

Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations

C Zhang, YL Ueng, C Studer… - IEEE Journal on Emerging …, 2020 - ieeexplore.ieee.org
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

Artificial Intelligence in Wireless Communications-Evolution Towards 6G Mobile Networks

TB Iliev, EP Ivanova, IS Stoyanov… - 2021 44th …, 2021 - ieeexplore.ieee.org
With the deployment of the 5G in wireless communications, the researchers' interest is
focused on the sixth generation networks. This forthcoming generation is expected to …

A survey of online data-driven proactive 5G network optimisation using machine learning

B Ma, W Guo, J Zhang - IEEE access, 2020 - ieeexplore.ieee.org
In the fifth-generation (5G) mobile networks, proactive network optimisation plays an
important role in meeting the exponential traffic growth, more stringent service requirements …

Multiagent multi-armed bandit schemes for gateway selection in UAV networks

S Hashima, K Hatano… - 2020 IEEE Globecom …, 2020 - ieeexplore.ieee.org
Lately, unmanned aerial vehicles (UAVs) communications acquired great attention because
of its weighty new applications, particularly in rescue services. In such a case, access and …