Interesting.

Dear Yasser Jaamour,

Artifical Intteligence (AI) will play an important role in 5G-based Networks - especially in Network Slicing.

Network Slicing uses SDN (Software-Defined Networking) to set up various 5G Private Networks based on Virtual Network Function

(VNFs). Here, the AI-driven SDN will be of great importance.

Attached are some sources of literature on "AI use in 5G"

There are some good ideas in the ITU-T Standard Y.3650. However, they are not directly related to 5G.

Best regards

Anatol Badach

Literature with ideas for AI use in 5G Networks

• Ying Wang, et al.: A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks; IEEE Wireless Communications, Vol. 24(1), Feb 2017; DOI: 10.1109/MWC.2016.1500184WC

https://ieeexplore.ieee.org/document/7744780

• Chunxiao Jiang, et al.: Machine Learning Paradigms for Next-Generation Wireless Networks; IEEE Wireless Communications, Vol. 24(2), Apr 2017; DOI: 10.1109/MWC.2016.1500356WC

https://ieeexplore.ieee.org/document/7792374

• Paulo Valente Klaine, et al. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks; IEEE Communications Surveys and Tutorials, Vol. 19(4), Jul 2017; DOI: 10.1109/COMST.2017.2727878

https://ieeexplore.ieee.org/document/7982603

• Rongpeng Li, et al.: “Intelligent 5G: When Cellular Networks Meet Artificial Intelligence”; IEEE Wireless Communications, Vol. 24(5), Oct 2017; DOI: 10.1109/MWC.2017.1600304WC

https://ieeexplore.ieee.org/document/7886994

• Magnus Malmström: 5G Positioning using Machine Learning; Master of Science Thesis in Applied Mathematics, Department of Electrical Engineering, Linköping University, 2018

https://liu.diva-portal.org/smash/get/diva2:1223862/FULLTEXT01.pdf

• Zhifeng Zhao, et al.: Deep Reinforcement Learning for Network Slicing; May 2018, https://arxiv.org/abs/1805.06591v2

A very broad and well-founded overview!!!!

• Chaoyun Zhang, Paul Patras, Hamed Haddadi: “Deep Learning in Mobile and Wireless Networking: A Survey”; arXiv:1803.04311v2, Sep 2018

https://arxiv.org/pdf/1803.04311.pdf

• ITU-T: „ Y.3650 - Framework of big-data-driven networking“, Jan 2018

https://www.itu.int/rec/T-REC-Y.3650-201801-I/en

• Sun Yifei, Liu Changpeng: Applications of Artificial Intelligence in 5G

https://www.zte.com.cn/global/about/magazine/zte-technologies/2018/4-en/Special-Topic/4

• Mind Commerce Staff: The Convergence of 5G, Artificial Intelligence, Data Analytics, and Internet of Things

https://blog.marketresearch.com/the-convergence-of-5g-artificial-intelligence-data-analytics-and-internet-of-things

• Muralidhar Somisetty: Big Data Analytics in 5G

https://futurenetworks.ieee.org/images/files/pdf/applications/Data-Analytics-in-5G-Applications030518.pdf

I also interested in this question. Indeed, it seems AI ubiquitous, but do we need AI everywhere?

Mostly grateful Dr. Anatol Badach ,

@Dr. Jiankang Zhang , as long as everything in communications is going Software Defined, then, as experts expect, AI shall take place !

Dear Sir,

Please, the existence of the artificial intelligence had revolutionized and impacted many applications including 5G networks and many more applications in the future.

Interesting.

Faster, Smarter Connection to More Data

5G connectivity has more bandwidth and lower latency than current wireless networks, so it will transmit more data faster than current 4G technologies. For example, LTE tops out at 1 gigabit per second while 5G is built to deliver 10 gigabits of data per second.

The ability to access additional information quicker through 5G networks will help AI-enabled devices understand their environment and the context in which they operate. This will supercharge AI-powered services, making them more reliable in a broad range of situations.

Typical Application Scenarios of AI in 5G

Artificial intelligence (AI) represented by machine learning and deep learning has done a remarkable job in the industries of internet and security protection. ZTE believes that AI can also greatly help telecom carriers optimize their investment, reduce costs and improve O&M efficiency, involving precision 5G network planning, capacity expansion forecast, coverage auto-optimization, smart MIMO, dynamic cloud network resource scheduling, and 5G smart slicing.

Source

(https://www.zte.com.cn/global/about/magazine/zte-technologies/2018/4-en/Special-Topic/4)

Interesting

Interest in