Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm

Jianbin WANG; Shuchun WANG; Shangjin LIAO; Shuyuan SHI

doi:10.11959/j.issn.1000-0801.2023101

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Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm

Research and Development | 更新时间：2024-06-05

- Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm
- Telecommunications Science Vol. 39, Issue 4, Pages: 133-141(2023)
- 作者机构：
  
  1. 浙江大学，浙江杭州 310027
  2. 中国电信股份有限公司浙江分公司，浙江杭州 310014
  3. 华信咨询设计研究院有限公司，浙江杭州 310052
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023101
  CLC： TN929.5
- Published Online：2023-04，
  
  Published：20 April 2023
- 稿件说明：
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Jianbin WANG, Shuchun WANG, Shangjin LIAO, et al. Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm[J]. Telecommunications science, 2023, 39(4): 133-141.
DOI：

Jianbin WANG, Shuchun WANG, Shangjin LIAO, et al. Research on 5G base station energy saving system based on DCNN-LSTM load prediction algorithm[J]. Telecommunications science, 2023, 39(4): 133-141. DOI： 10.11959/j.issn.1000-0801.2023101.

摘要

伴随着5G网络的大规模快速建设，运营商乃至整体通信行业的能耗压力在同步凸显。通过节能降耗实现行业可持续发展成为当前5G网络发展的新研究方向。以小区物理资源块（physical resource block，PRB）利用率为负荷评估指标，对小区指标进行深度特征提取，提出了一套深度卷积神经网络和长短期记忆（DCNN-LSTM）深度学习算法模型实现PRB利用率未来值预测，进一步结合小区瞬时任务中大小包比例，对各种基站设定动态化的节能策略。并引入网络能耗管理网元，对整体5G接入网络的能耗进行动态化统一管理，在保障无线网络服务质量的基础上，实现了5G基站的智能化节能运作。

Abstract

With the rapid construction of the 5G wireless communication network

the energy consumption pressure of operators

and even the overall communication industry

is simultaneously highlighted.Achieving sustainable development of the industry through energy conservation and consumption reduction has become a new research direction for the current 5G network development.Taking the PRB rate as the load evaluation index

LSTM model was improved by using DCNN to extract the depth feature of the cell’s indicators.A set of DCNN-LSTM deep learning model that could predict the future value of PRB rate was proposed.On the basis of the improved algorithm

the network topology of the current 5G access network was optimized.An additional network element and its working system were designed.An intelligent energy-saving system

which ensured the network experience

of 5G base stations was realized.

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Keywords

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