Application of artificial intelligence in mobile communication:challenge and practice

Yusun FU; Genke YANG

doi:10.11959/j.issn.1000-436x.2020167

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Application of artificial intelligence in mobile communication:challenge and practice

Comprehensive Review | 更新时间：2024-06-05

- Application of artificial intelligence in mobile communication:challenge and practice
- Journal on Communications Vol. 41, Issue 9, Pages: 190-201(2020)
- 作者机构：
  
  1. 上海交通大学电子信息与电气工程学院，上海 200240
  2. 上海交通大学宁波人工智能研究院，浙江宁波 315000
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2019YFB1705703);The National Key Research and Development Program of China(2017YFA60700602)
- DOI：10.11959/j.issn.1000-436x.2020167
  CLC： TN929.5
- Online First：2020-09，
  
  Published：25 September 2020
- 稿件说明：
移动端阅览
Yusun FU, Genke YANG. Application of artificial intelligence in mobile communication:challenge and practice[J]. Journal on Communications, 2020, 41(9): 190-201.
DOI：

Yusun FU, Genke YANG. Application of artificial intelligence in mobile communication:challenge and practice[J]. Journal on Communications, 2020, 41(9): 190-201. DOI： 10.11959/j.issn.1000-436x.2020167.

摘要

对人工智能在移动通信领域学术界和产业界的研究与应用现状进行了总结，指出了人工智能在提升移动通信系统性能方面的挑战和瓶颈。创造性地提出性能外环与性能内环协同减小实际网络性能与理想网络性能间距离的新思路和新方法：对性能外环部分进行人工智能重构，对性能内环部分进行传统自适应或最优化，形成与性能外环部分的最佳协同。若干成功应用的实例证明了该思路和方法的有效性。最后指出，为了满足移动通信系统对人工智能解决方案“稳”“准”“快”的严苛需求，使能移动网络的自动化、智能化、智慧化，除了使人工智能重构的方案本身具有优异的性能外，还必须有基于大数据分析和模拟系统的反馈闭环系统架构，而架构中模拟器的构建——模拟系统是实现“稳”“准”“快”严苛需求的关键路径。

Abstract

The research and application progress in mobile communication

and points out its obstacle for improving the performance of mobile communication system were summarized.A new approach for reducing the gap between the practical and the ideal network performance was put forward creatively

which included the artificial intelligence reconstruction for performance outer loop part

the traditional adaptation or optimization for performance inner loop part

and the optimal cooperation between the two parts.The effectiveness of this approach was proved by the several successful applications.Finally

it pointed out that in order to meet the severe demands of mobile communication system for the “stable” “accurate” and “fast” artificial intelligence solution

and make the mobile network automatic

intelligent and wise

in addition to the excellent performance of the artificial intelligence reconstruction scheme itself

there must also be a feedback closed-loop system architecture based on the big data analysis and analog system

which is the key path to achieve this target.

关键词

Keywords

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