人工智能与无线通信（英文）
发布时间：2021-08-06 18:31
近来,人工智能和机器学习技术在无线通信领域的应用受到极大关注。人工智能在语音理解、图像识别、自然语言处理等领域取得成功,展示了其解决难以建模问题的巨大潜力。无线通信在大量应用场景中存在着日益增长且多样的需求,而人工智能已成为满足这些需求的重要使能技术。本文详细介绍无线通信中人工智能发挥重要作用的一些典型场景,包括信道建模、信道译码和信号检测以及信道编码设计。进而,从信息瓶颈的角度讨论了人工智能和信息论的关系。最后,讨论了将人工智能技术深入集成在无线通信系统的一些想法。
【文章来源】：Frontiers of Information Technology & Electronic Engineering. 2020,21(10)EISCICSCD
【文章页数】：14 页
【文章目录】：
1 Introduction
2 AI-based channel modeling
3 AI-based channel decoding and signal detection
3.1 Channel decoding
3.2 Signal detection
4 AI-based channel coding design
4.1 Polar codes with a fixed length and rate
4.2 Polar codes within a range of code rates
5 AI-based scheduling
5.1 Network scenario and problem formulation
5.2 Learning methodology
6 AI and information theory
7 Future of wireless AI
8 Conclusions
Contributors
Compliance with ethics guidelines
【参考文献】：
期刊论文
[1]Visual interpretability for deep learning:a survey[J]. Quan-shi ZHANG,Song-chun ZHU. Frontiers of Information Technology & Electronic Engineering. 2018(01)
本文编号：3326270
【文章来源】：Frontiers of Information Technology & Electronic Engineering. 2020,21(10)EISCICSCD
【文章页数】：14 页
【文章目录】：
1 Introduction
2 AI-based channel modeling
3 AI-based channel decoding and signal detection
3.1 Channel decoding
3.2 Signal detection
4 AI-based channel coding design
4.1 Polar codes with a fixed length and rate
4.2 Polar codes within a range of code rates
5 AI-based scheduling
5.1 Network scenario and problem formulation
5.2 Learning methodology
6 AI and information theory
7 Future of wireless AI
8 Conclusions
Contributors
Compliance with ethics guidelines
【参考文献】：
期刊论文
[1]Visual interpretability for deep learning:a survey[J]. Quan-shi ZHANG,Song-chun ZHU. Frontiers of Information Technology & Electronic Engineering. 2018(01)
本文编号：3326270
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