A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next generation (5G and 5BG) mobile networks. The IoT concept transforms different fields by providing large amount of dat...
Saved in:
Main Authors: | Yazici, İbrahim, Shayea, Ibraheem, Din, Jafri |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/106806/1/JafriDin2023_ASurveyOfApplicationsOfArtificialIntelligence.pdf http://eprints.utm.my/106806/ http://dx.doi.org/10.1016/j.jestch.2023.101455 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine learning-based load balancing algorithms in future heterogeneous networks: A survey
by: Gures, Emre, et al.
Published: (2022) -
Mobility robustness optimization in future mobile heterogeneous networks: A survey
by: Tashan, Waheeb, et al.
Published: (2022) -
Advanced mobility robustness optimization models in future mobile networks based on machine learning solutions
by: Tashan, Waheeb, et al.
Published: (2022) -
Survey on land mobile satellite system: Challenges and future research trends
by: Mohammad Abo Zeed, Mohammad Abo Zeed, et al.
Published: (2019) -
Handover management for drones in future mobile networks-a survey
by: Shayea, Ibraheem, et al.
Published: (2022)