Intelligent service oriented fog radio access network:principles, technologies and challenges

Chenxi LIU; Binghong LIU; Xian ZHANG; Xinnan LONG; Mugen PENG

doi:10.11959/j.issn.2096-6652.202102

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Intelligent service oriented fog radio access network:principles, technologies and challenges

Surveys and Prospectives | 更新时间：2024-06-05

- Intelligent service oriented fog radio access network:principles, technologies and challenges
- Chinese Journal of Intelligent Science and Technology Vol. 3, Issue 1, Pages: 10-17(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-6652.202102
  CLC： TN929.5
- Published Online：2021-03，
  
  Published：15 March 2021
- 稿件说明：
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Chenxi LIU, Binghong LIU, Xian ZHANG, et al. Intelligent service oriented fog radio access network:principles, technologies and challenges[J]. Chinese journal of intelligent science and technology, 2021, 3(1): 10-17.
DOI：

Chenxi LIU, Binghong LIU, Xian ZHANG, et al. Intelligent service oriented fog radio access network:principles, technologies and challenges[J]. Chinese journal of intelligent science and technology, 2021, 3(1): 10-17. DOI： 10.11959/j.issn.2096-6652.202102.

摘要

大数据和人工智能的兴起推动了智能服务的蓬勃发展。然而由于数据管理和模型训练成本高昂，以及用户对时延和隐私等的需求愈加突出，基于现有的集中式网络架构难以实现整体网络的智能化。为此，提出了一种支持分布式机器学习的基于人工智能的雾无线接入网络（AI-FRAN）架构，并探讨了支撑该架构的基础理论，明确了充分利用雾无线接入网络（F-RAN）中通信资源、计算资源以及缓存资源的关键赋能技术。最后，讨论了AI-FRAN未来的发展机遇与挑战。

Abstract

Big data and artificial intelligence has promoted the development of intelligent service.However

due to the high cost of data management and model training

as well as the increasing demands of users for latency and privacy

it is difficult to achieve the intelligent network based on the existing centralized network architecture.To address this issue

an artificial intelligence-based fog radio access network (AI-FRAN) architecture that supported distributed machine learning was proposed

and the fundamental principles that support the architecture were discussed.The key enabling techniques were identified that can realize the full utilization of communication resources

computing resources and cache resources in fog radio access network (F-RAN).Finally

the opportunities and challenges of AI-FRAN were discussed.

关键词

Keywords

references

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