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 …

[HTML][HTML] Security and privacy in 6G networks: New areas and new challenges

M Wang, T Zhu, T Zhang, J Zhang, S Yu… - Digital Communications …, 2020 - Elsevier
With the deployment of more and more 5g networks, the limitations of 5g networks have
been found, which undoubtedly promotes the exploratory research of 6G networks as the …

Five facets of 6G: Research challenges and opportunities

LH Shen, KT Feng, L Hanzo - ACM Computing Surveys, 2023 - dl.acm.org
While the fifth-generation systems are being rolled out across the globe, researchers have
turned their attention to the exploration of radical next-generation solutions. At this early …

The shift to 6G communications: Vision and requirements

MW Akhtar, SA Hassan, R Ghaffar, H Jung… - … -centric Computing and …, 2020 - Springer
Abstract The sixth-generation (6G) wireless communication network is expected to integrate
the terrestrial, aerial, and maritime communications into a robust network which would be …

6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …

Edge intelligence: Empowering intelligence to the edge of network

D Xu, T Li, Y Li, X Su, S Tarkoma, T Jiang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on 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) …

Intelligent reflective surface based 6G communications for sustainable energy infrastructure

Q Liu, S Sun, B Rong, M Kadoch - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Advances in artificial intelligence (AI) techniques have offered great opportunities for the
optimization of sustainable energy systems. AI techniques rely on the collection of big data …

Performance analysis of reconfigurable intelligent surface-assisted wireless systems and comparison with relaying

AAA Boulogeorgos, A Alexiou - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we provide the theoretical framework for the performance comparison of
reconfigurable intelligent surfaces (RISs) and amplify-and-forward (AF) relaying wireless …

Robust and secure sum-rate maximization for multiuser MISO downlink systems with self-sustainable IRS

S Hu, Z Wei, Y Cai, C Liu, DWK Ng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper investigates robust and secure multiuser multiple-input single-output (MISO)
downlink communications assisted by a self-sustainable intelligent reflection surface (IRS) …