Open AccessArtificial intelligence in mobile communication: A Survey
Author(s) -
Yingchi Mao,
Andri Pranolo,
Leonel Hernandez,
Aji Prasetya Wibawa,
Zalik Nuryana
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1212/1/012046
Subject(s) - computer science , mobile telephony , artificial intelligence , artificial neural network , mobile computing , wireless , telecommunications , mobile radio
In this paper, we elaborate on artificial intelligence (AI) techniques used to improve the performance of mobile communication. This article describes brief AI approaches in mobile communication, several classics AI techniques, and the current AI approaches in wireless communication. The techniques contain fuzzy logic, neural networks, reinforcement learning, and AI techniques implemented on mobile communication. Some keys or terms challenges between AI and future mobile communication, not only 5G generation issues but also how the sixth generation (6G) of mobile networks will be driven to give stable networks and service types on huge mobile devices and data.