6G context-aware wireless network

Junshuai SUN; Yun ZHAO; Yingying WANG; Na LI; Huimin ZHANG; Xin SUN; Min YAN; Quan ZHAO; Gang LI; Xuan LIU; Guangyi LIU

doi:10.11959/j.issn.1000-0801.2021227

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6G context-aware wireless network

Topic: 6G | 更新时间：2024-06-05

- 6G context-aware wireless network
- Telecommunications Science Vol. 37, Issue 9, Pages: 14-19(2021)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2021227
  CLC： TP393
- Published Online：2021-09，
  
  Published：20 September 2021
- 稿件说明：
移动端阅览
Junshuai SUN, Yun ZHAO, Yingying WANG, et al. 6G context-aware wireless network[J]. Telecommunications science, 2021, 37(9): 14-19.
DOI：

Junshuai SUN, Yun ZHAO, Yingying WANG, et al. 6G context-aware wireless network[J]. Telecommunications science, 2021, 37(9): 14-19. DOI： 10.11959/j.issn.1000-0801.2021227.

摘要

ICDT深度融合是移动通信演进的重要技术趋势之一，如何实现无线网络和AI技术的深度融合是无线网络中演进的重要课题。基于内生AI（native AI）概念，研究在无线网络中使用AI工具进行无线资源优化。提出了一种上下文感知的6G无线网络架构，并在RRM中引入内生AI工具，形成智能控制器智能化无线资源管理（AI-driven RRM），完成智能无线资源管理的控制器，在大数据和人工智能的驱动下，实现对无线资源的智能化管理。该部署方案把智能控制器按照功能进行部署，并支持动态的功能伸缩，让其部署独立于基站接入点之外以实现基站硬件成本最小化。

Abstract

Convergence of ICDT is one of the important technical trends in the evolution of wireless mobile communication.How to realize the convergence of wireless network and AI technology is an important topic in the evolution of wireless network.Based on the concept of native AI

AI was applied for wireless resources optimization.6G context-aware wireless network architecture was proposed and AI was introduced into RRM to form an intelligent controller (AI-driven RRM)

which completed the intelligent wireless resource management.Driven by big data and artificial intelligence

intelligent management of wireless resources was realized.In the deployment

the intelligent controller is deployed according to its functions and supports dynamic function scaling

so that it can be deployed independently of base station to minimize the cost of hardware.

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references

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