移动通信2024，Vol.48Issue(8)：25-29,5.DOI:10.3969/j.issn.1006-1010.20240808-0001
6G物理层AI赋能技术的思考
Thoughts on AI-Enabled Technologies for 6G Physical Layer
李阳 1崔厚虓 1蔡晓雄 2李然 2李昊 2徐明枫1
作者信息
- 1. 中国信息通信研究院,北京 100191
- 2. 中国铁塔股份有限公司,北京 100089
- 折叠
摘要
Abstract
The integration of mobile communication and AI is one of the most important scenarios and features of 6G,where 6G is a solid information base for running AI applications and AI is an enabling technology to certainly stimulate the new vitality of 6G.The nonlinear mapping ability of deep neural network can realize joint optimization of communication link modules,reconstruct traditional physical layer design,and improve the performance and efficiency of 6G network.This paper first introduces the architecture and characteristics of 6G and briefly introduces the AI-based channel estimation algorithm,AI-based demodulation algorithm and AI-based intelligent transceiver.Then,taking AI-based demodulation technology as an example,a prototype is built for technical verification.Finally,the prospect of AI technology enabling physical layer design is presented.关键词
6G/人工智能/解调制Key words
6G/Artificial Intelligence/demodulation分类
信息技术与安全科学引用本文复制引用
李阳,崔厚虓,蔡晓雄,李然,李昊,徐明枫..6G物理层AI赋能技术的思考[J].移动通信,2024,48(8):25-29,5.
