Research on future green and low-carbon wireless networks with optimal energy efficiency and performance

GAO Feng; FANG Yuan; SHEN Ao; QI Xinte; XU Zetao

doi:10.11959/j.issn.1000-0801.2025020

您当前的位置：

首页 >

文章列表页 >

Research on future green and low-carbon wireless networks with optimal energy efficiency and performance

Engineering and Application | 更新时间：2025-03-11

- Research on future green and low-carbon wireless networks with optimal energy efficiency and performance
- Telecommunications Science Vol. 41, Issue 2, Pages: 139-145(2025)
- 作者机构：
  
  中国移动通信集团设计院有限公司，北京 100080
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2025020
  CLC： TN929.5
- Received：28 June 2024，
  
  Revised：2024-12-30，
  
  Published：20 February 2025
- 稿件说明：
移动端阅览
高峰,方媛,沈骜等.能效与性能双优的未来绿色低碳无线网络研究[J].电信科学,2025,41(02):139-145.

GAO Feng,FANG Yuan,SHEN Ao,et al.Research on future green and low-carbon wireless networks with optimal energy efficiency and performance[J].Telecommunications Science,2025,41(02):139-145.
高峰,方媛,沈骜等.能效与性能双优的未来绿色低碳无线网络研究[J].电信科学,2025,41(02):139-145. DOI： 10.11959/j.issn.1000-0801.2025020.

GAO Feng,FANG Yuan,SHEN Ao,et al.Research on future green and low-carbon wireless networks with optimal energy efficiency and performance[J].Telecommunications Science,2025,41(02):139-145. DOI： 10.11959/j.issn.1000-0801.2025020.

摘要

为满足无线网络低碳发展需求，总结并前瞻性规划无线网络节能发展方向是十分必要的。首先，总结了无线网络节能现状。其次，梳理了国内外标准化组织对无线网络能效的评估标准研究，并提出了一种多层级、多维度、多场景、可演进的无线网络能效指标体系，以优化无线网络能效评估方法，适配绿色无线网络“低能耗、高能效、优感知”发展特性。最后，基于无线网络节能体系，分别在无线网络规划、建设、运维、优化各阶段总结并分析了相应的节能方案，为构建能效与性能双优的绿色低碳无线网络提供参考。

Abstract

In order to meet the demand for low-carbon development of wireless networks

it is necessary to summarize and prospectively plan the development direction of energy-saving in wireless networks. Firstly

the current status of energy saving in wireless networks were summarized. Secondly

the research on wireless network energy efficiency assessment standards of domestic and foreign standardization organizations were sorted out

and a multi-level

multi-dimensional

multi-scenario

and evolvable wireless networks energy efficiency index system was proposed to optimize the wireless networks energy efficiency evaluation method

and to adapt to the development characteristics of green wireless networks

such as “low energy consumption

high energy efficiency

and excellent perception”. Finally

based on the wireless network energy-saving system

the corresponding energy-saving schemes were summarized and analyzed in the stages of wireless networks planning

construction

operation&maintenance

and optimization. It provides a reference for building a green low-carbon wireless network with both energy efficiency and performance.

关键词

Keywords

references

王钦 , 薛俊伟 , 王国庆 . “双碳” 目标下通信基站建设模式研究 [J ] . 通信电源技术 , 2022 , 39 ( 13 ): 31 - 34 .

WANG Q , XUE J W , WANG G Q . Research on construction of communication base station under the double carbon target [J ] . Telecom Power Technology , 2022 , 39 ( 13 ): 31 - 34 .

牛志升 , 周盛 , 孙宇璇 . 面向“双碳” 战略的绿色通信与网络: 挑战与对策 [J ] . 通信学报 , 2022 , 43 ( 2 ): 1 - 14 .

NIU Z S , ZHOU S , SUN Y X . Green communication and networking for carbon-peaking and carbon-neutrality: challenges and solutions [J ] . Journal on Communications , 2022 , 43 ( 2 ): 1 - 14 .

张涌 . 通信运营商的碳达峰、碳中和之路探讨 [J ] . 邮电设计技术 , 2021 ( 6 ): 1 - 4 .

ZHANG Y . Discussion on road of carbon peak and carbon neutralization for communication operators [J ] . Designing Techniques of Posts and Telecommunications , 2021 ( 6 ): 1 - 4 .

王一涵 . 信息与通信技术在碳达峰碳中和战略中的应用研究 [J ] . 石河子科技 , 2023 ( 1 ): 46 - 48 .

WANG Y H . Research on the application of information and communication technology in peak carbon dioxide emissions's carbon neutralization strategy [J ] . Shihezi Science and Technology , 2023 ( 1 ): 46 - 48 .

包其齐 , 刘俊杰 . 浅析5G基站的能效管理 [J ] . 通信电源技术 , 2023 , 40 ( 2 ): 122 - 124 .

BAO Q Q , LIU J J . Analysis of energy efficiency management of 5G base stations [J ] . Telecom Power Technology , 2023 , 40 ( 2 ): 122 - 124 .

李奥 , 王未 , 刘绚 , 等 . 通信基站能效影响因素分析 [J ] . 通信电源技术 , 2021 , 38 ( 14 ): 52 - 56 .

LI A , WANG W , LIU X , et al . Analysis of influencing factors on energy efficiency of communication base station [J ] . Telecom Power Technology , 2021 , 38 ( 14 ): 52 - 56 .

曹恒 , 尚海波 , 席向涛 , 等 . 5G基站能效评估影响因素分析及分级体系初探 [J ] . 邮电设计技术 , 2023 ( 10 ): 26 - 32 .

CAO H , SHANG H B , XI X T , et al . Analysis of influencing factors of 5G base station energy efficiency evaluation and primary exploration of grading system [J ] . Designing Techniques of Posts and Telecommunications , 2023 ( 10 ): 26 - 32 .

卢如东 , 刘磊 , 廖敏 . 移动通信基站能效评估体系研究 [J ] . 广东通信技术 , 2020 , 40 ( 3 ): 24 - 28 .

LU R D , LIU L , LIAO M . Research on energy efficiency evaluation system of mobile communication base station [J ] . Guangdong Communication Technology , 2020 , 40 ( 3 ): 24 - 28 .

李涛 , 范英鹰 , 刘静静 . 一种基于AI技术的5G基站节能自适应设计方案 [J ] . 电信工程技术与标准化 , 2023 , 36 ( 2 ): 8 - 14, 19 .

LI T , FAN Y Y , LIU J J . A design of AI technology self-adaption energy saving for 5G NR [J ] . Telecom Engineering Technics and Standardization , 2023 , 36 ( 2 ): 8 - 14, 19 .

马敏 , 王昕 , 冷明全 . 4G/5G基站智能节电研究与应用 [J ] . 电信工程技术与标准化 , 2023 , 36 ( 6 ): 54 - 58 .

MA M , WANG X , LENG M Q . Research and application on intelligent energy saving of 4G/5G base station [J ] . Telecom Engineering Technics and Standardization , 2023 , 36 ( 6 ): 54 - 58 .

于英姿 , 张妍 , 顾鹏 , 等 . 基于数据挖掘和AI模型的基站降碳智慧平台 [J ] . 电子通信与计算机科学 , 2023 , 5 ( 4 ): 198 - 201 .

YU Y Z , ZHANG Y , GU P , et al . A smart platform for base station carbon reduction based on data mining and AI models [J ] . Electronic Communication and Computer Science , 2023 , 5 ( 4 ): 198 - 201 .

孟繁丽 , 薛伟 , 汪况伦 , 等 . 5G无线网络智能化规划体系及实现 [J ] . 移动通信 , 2019 , 43 ( 6 ): 52 - 59 .

MENG F L , XUE W , WANG K L , et al . Intelligent planning system and implementation of 5G wireless networks [J ] . Mobile Communications , 2019 , 43 ( 6 ): 52 - 59 .

白波 , 刘舜 , 董鹏 , 等 . 面向双碳目标的移动基站基础设施规划方法研究 [J ] . 电子技术应用 , 2023 , 49 ( 12 ): 60 - 64 .

BAI B , LIU S , DONG P , et al . Research on mobile base station infrastructure planning method for dual carbon goals [J ] . Application of Electronic Technique , 2023 , 49 ( 12 ): 60 - 64 .

刘红阳 . 5G无线网智能规划研究 [J ] . 河南科技 , 2023 , 42 ( 13 ): 11 - 16 .

LIU H Y . Research on intelligent planning of 5G wireless network [J ] . Henan Science and Technology , 2023 , 42 ( 13 ): 11 - 16 .

赵巍 , 张智森 , 肖佳康 , 等 . 基于人工智能的5G通信网络运维规划方法 [J ] . 长江信息通信 , 2022 , 35 ( 3 ): 219 - 222 .

ZHAO W , ZHANG Z S , XIAO J K , et al . Operation and maintenance planning method of 5G communication network based on artificial intelligence [J ] . Changjiang Information & Communications , 2022 , 35 ( 3 ): 219 - 222 .

沈瑶 . 基于大数据的基站流量预测与网络规划算法研究 [D ] . 南京 : 南京邮电大学 , 2019 .

SHEN Y . Research on algorithm of base station traffic prediction and network planning based on big data [D ] . Nanjing : Nanjing University of Posts and Telecommunications , 2019 .

江枫 , 程日涛 , 孟繁丽 , 等 . 基于跨域特征融合的基站价值智能评估的研究与实现 [C ] // 5G网络创新研讨会 . 2022 : 7 - 12 .

JIANG F , CHENG R T , MENG F L , et al . Research and implementation of intelligent evaluation of base station value based on cross domain feature fusion [C ] // 5G Network Innovation Seminar . 2022 : 7 - 12 .

石强 , 郭翔 , 马翼飞 , 等 . 基于 “5G+物联网” 的智慧能源新技术研究及应用: 通信基站智能化用电规划及管理 [J ] . 通信电源技术 , 2022 , 39 ( 19 ): 139 - 144 .

SHI Q , GUO X , MA Y F , et al . Research and application of new smart energy technology based on “5G+Internet of things” : intelligent power planning and management of communication base stations [J ] . Telecom Power Technologies , 2022 , 39 ( 19 ): 139 - 144 .

雷秋燕 , 张治中 , 程方 , 等 . 基于C-RAN的5G无线接入网架构 [J ] . 电信科学 , 2015 , 31 ( 1 ): 112 - 121 .

LEI Q Y , ZHANG Z Z , CHENG F , et al . 5G radio access network architecture based on C-RAN [J ] . Telecommunications Science , 2015 , 31 ( 1 ): 112 - 121 .

陈宇 , 彭星 , 许俊蕾 , 等 . 无线网络极简改造 [J ] . 通信电源技术 , 2023 , 40 ( 16 ): 206 - 208 .

CHEN Y , PENG X , XU J L , et al . Wireless network simplicity modification [J ] . Telecom Power Technology , 2023 , 40 ( 16 ): 206 - 208 .

温亮 , 朱惠斌 . 极简网络视角下机房演进趋势分析 [J ] . 广东通信技术 , 2022 , 42 ( 4 ): 69 - 71, 75 .

WEN L , ZHU H B . Analysis on the evolution trend of computer room from the perspective of minimalist network [J ] . Guangdong Communication Technology , 2022 , 42 ( 4 ): 69 - 71, 75 .

陈先凌 , 郑骏文 , 宋嘉皓 , 等 . 绿色低碳站点极简改造方案研究 [J ] . 通信电源技术 , 2022 , 39 ( 19 ): 205 - 208 .

CHEN X L , ZHENG J W , SONG J H , et al . Research on minimalist renovation plan for green and low-carbon sites [J ] . Telecom Power Technologies , 2022 , 39 ( 19 ): 205 - 208 .

张净 , 陈昀昊 , 张瑜 . 通信站点低碳极简建设研究 [J ] . 通信电源技术 , 2022 , 39 ( 19 ): 192 - 193, 196 .

ZHANG J , CHEN Y H , ZHANG Y . Research on low-carbon and minimalist construction of communication sites [J ] . Telecom Power Technologies , 2022 , 39 ( 19 ): 192 - 193, 196 .

王未 , 李玉昇 , 张瑜 , 等 . 汇聚机房设备散热问题分析及方案探讨 [J ] . 通信电源技术 , 2020 , 37 ( S1 ): 166 - 170 .

WANG W , LI Y S , ZHANG Y , et al . Heat dissipation problem and solution for communication equipments in C-RAN room [J ] . Telecom Power Technologies , 2020 , 37 ( S1 ): 166 - 170 .

赵贺朋 , 王未 , 刘绚 , 等 . 机柜级制冷技术应用于C-RAN站点的节能效果分析 [J ] . 通信电源技术 , 2021 , 38 ( 14 ): 115 - 120 .

ZHAO H P , WANG W , LIU X , et al . Analysis of energy-saving ffect of cabinet-level refrigeration technology applied to C-RAN site [J ] . Telecom Power Technology , 2021 , 38 ( 14 ): 115 - 120 .

FANG Y , QI X T , ZHANG S , et al . Research on abnormal energy consumption monitoring of base station equipment based on LightGBM [C ] // 2023 IEEE 23rd International Conference on Communication Technology (ICCT) . Piscataway : IEEE Press , 2023 : 794 - 798 .

WANG X , LIN X J . Short-term wireless load indicator forecasting method based on multi-model fusion [C ] // 2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML) . Piscataway : IEEE Press , 2022 : 22 - 26 .

Views

361

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Energy Harvesting Communication System

Integrated communication-sensing-computation based energy efficient data processing design

Joint resource allocation and task offloading for latency constraint and energy-sensing vehicular edge computing

Analysis of reconfigurable intelligent surface assisted networking

Related Author

Jian Feng

Pingyang Wang

Lin Wang

Xing Zhang

Li Xiaoyang

Cao Xiaowen

Zhou Ziqin

Han Zidong

Related Institution

College of Electronics and Information Engineering, Shenzhen University

College of Engineering, Southern University of Science and Technology

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications

Ningbo Arrow Deep Internet Technology Co., Ltd.

Faculty of Electrical Engineering and Computer Science, Ningbo University

⁰