Nine Challenges in Artificial Intelligence and Wireless Communications for 6G

被引：62

作者：

Tong, Wen ^{[1
]}

Li, Geoffrey Ye ^{[2
]}

机构：

[1] Huawei Technol, Markham, ON, Canada

[2] Imperial Coll London, London, England

来源：

IEEE WIRELESS COMMUNICATIONS | 2022年 / 29卷 / 04期

关键词：

Artificial intelligence; Biological neural networks; Neural networks; 6G mobile communication; Deep learning; Wireless networks; Data models;

D O I：

10.1109/MWC.006.2100543

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, artificial intelligence (AI) techniques, especially machine learning (ML), have been successfully applied in various areas, leading to a widespread belief that AI will collectively play an important role in future wireless communications. To accomplish the aspiration, we present nine challenges to be addressed by the interdisciplinary areas of AI/ML and wireless communications, with particular focus on the sixth generation (6G) wireless networks. Specifically, this article classifies the nine challenges into computation in AI, distributed neural networks and learning, and semantic communications.

引用

页码：140 / 145

页数：6

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