基于人工智能的无线传输技术最新研究进展

张静; 金石; 温朝凯; 高飞飞; 江涛

doi:10.11959/j.issn.1000−0801.2018234

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基于人工智能的无线传输技术最新研究进展

专题：5G | 更新时间：2024-06-05

- 基于人工智能的无线传输技术最新研究进展
- An overview of wireless transmission technology utilizing artificial intelligence
- 电信科学 2018年34卷第8期页码：46-55
- 作者机构：
  
  1. 东南大学移动通信国家重点实验室，江苏南京210096
  2. 台湾中山大学通讯工程研究所，台湾高雄000800
  3. 清华大学自动化系，北京100084
  4. 华中科技大学武汉光电国家研究中心，湖北武汉430074
- 作者简介：
  
  [ "张静（1993−），女，东南大学移动通信国家重点实验室博士生，主要研究方向为5G移动通信物理层关键技术、机器学习等。" ]
  [ "金石（1974−），男，东南大学移动通信国家重点实验室教授、博士生导师，主要研究方向为移动通信理论与关键技术、物联网理论与关键技术以及人工智能在无线通信中的应用等。" ]
  [ "温朝凯（1976−），男，台湾中山大学通讯工程研究所教授，主要研究方向为无线通信、最优化理论和机器学习等。" ]
  [ "高飞飞（1980−），男，清华大学自动化系信息处理研究所副教授，主要研究方向为通信信号处理、大规模多天线技术以及智能通信。" ]
  [ "江涛（1970−），男，华中科技大学武汉光电国家研究中心教授、博士生导师，主要研究方向为5G移动通信理论与关键技术、天地一体化信息网络、深海目标探测等。" ]
- 基金信息：
  
  国家自然科学基金杰出青年科学基金资助项目;NSFC for Distinguished Young Scholars of China(61625106);国家自然科学基金资助项目;The National Natural Science Foundation of China(61531011)
- DOI：10.11959/j.issn.1000−0801.2018234
  中图分类号： TN929.5
- 网络出版日期：2018-08，
  
  纸质出版日期：2018-08-20
- 稿件说明：
移动端阅览
张静, 金石, 温朝凯, 等. 基于人工智能的无线传输技术最新研究进展[J]. 电信科学, 2018,34(8):46-55.

Jing ZHANG, Shi JIN, Chaokai WEN, et al. An overview of wireless transmission technology utilizing artificial intelligence[J]. Telecommunications science, 2018, 34(8): 46-55.
张静, 金石, 温朝凯, 等. 基于人工智能的无线传输技术最新研究进展[J]. 电信科学, 2018,34(8):46-55. DOI： 10.11959/j.issn.1000−0801.2018234.

Jing ZHANG, Shi JIN, Chaokai WEN, et al. An overview of wireless transmission technology utilizing artificial intelligence[J]. Telecommunications science, 2018, 34(8): 46-55. DOI： 10.11959/j.issn.1000−0801.2018234.

摘要

智能通信被认为是5G之后无线通信发展的主流方向之一，其基本思想是将人工智能引入无线通信系统的各个层面，实现无线通信与人工智能技术的有机融合。目前，该方面研究正在向物理层快速推进，无线传输技术与人工智能的融合还处于初步探索阶段。面向基于人工智能的无线传输关键技术，从信道估计、信号检测、信道状态信息反馈与重建、信道解码、端到端的无线通信系统方面展开了详细介绍，阐述了近年来国际学术界在该方向的最新研究进展，并在此基础上对利用人工智能的无线传输技术发展趋势进行了进一步展望。

Abstract

Intelligent communication is considered to be one of themainstream directions in the development of wireless communications after 5G.Its basic idea is to introduce artificial intelligence into all aspects of wireless communication systems

realizing the significant integration of wireless communication and artificial intelligence technology.At present

the research in this field is advancing to the physi cal layer.The combination of wireless transmission and deep learning is also in the preliminary exploration stage.Key technologies of wireless physi cal layer based on deep learning were introduced in detail from the aspects of channel estimation

signal detection

feedback and reconstruction of channel state information

channel decoding

end-to-end wireless communication systems

the latest research progress of international academic circles in recent years was presented.On this basis

the development trend in the future was preliminarily forecasted.

关键词

Keywords

references

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