Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
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 …

6G security challenges and potential solutions

P Porambage, G Gür, DPM Osorio… - 2021 Joint European …, 2021 - ieeexplore.ieee.org
Although the fifth generation wireless networks are yet to be fully investigated, the vision and
key elements of the 6th generation (6G) ecosystem have already come into discussion. In …

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends

HMF Noman, E Hanafi, KA Noordin, K Dimyati… - IEEE …, 2023 - ieeexplore.ieee.org
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …

[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

Machine learning paradigms for next-generation wireless networks

C Jiang, H Zhang, Y Ren, Z Han… - IEEE Wireless …, 2016 - ieeexplore.ieee.org
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges

CX Wang, M Di Renzo, S Stanczak… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …

Pushing AI to wireless network edge: An overview on integrated sensing, communication, and computation towards 6G

G Zhu, Z Lyu, X Jiao, P Liu, M Chen, J Xu, S Cui… - Science China …, 2023 - Springer
Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

A prospective look: Key enabling technologies, applications and open research topics in 6G networks

L Bariah, L Mohjazi, S Muhaidat, PC Sofotasios… - IEEE …, 2020 - ieeexplore.ieee.org
The fifth generation (5G) mobile networks are envisaged to enable a plethora of
breakthrough advancements in wireless technologies, providing support of a diverse set of …

Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges

B Brik, K Boutiba, A Ksentini - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …

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 …