Artificial intelligence in mobile communication: A Survey

Author:

Mao Yingchi,Pranolo Andri,Hernandez Leonel,Wibawa Aji Prasetya,Nuryana Zalik

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interface Selection and Optimization of Weights using Artificial Neural Network in Heterogeneous Wireless Environment;International Journal on Smart Sensing and Intelligent Systems;2023-01-01

2. Henna;Proceedings of the 1st International Workshop on Native Network Intelligence;2022-12-06

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