Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions

Zhisheng NIU; Sheng ZHOU; Yuxuan SUN

doi:10.11959/j.issn.1000-436x.2022041

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Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions

Papers | 更新时间：2024-06-05

- Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions
- Journal on Communications Vol. 43, Issue 2, Pages: 1-14(2022)
- 作者机构：
  
  1. 清华大学电子工程系，北京 100084
  2. 北京信息科学与技术国家研究中心，北京 100084
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2020YFB1806605)
- DOI：10.11959/j.issn.1000-436x.2022041
  CLC： TN929.5
- Online First：2022-02，
  
  Published：25 February 2022
- 稿件说明：
移动端阅览
Zhisheng NIU, Sheng ZHOU, Yuxuan SUN. Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions[J]. Journal on Communications, 2022, 43(2): 1-14.
DOI：

Zhisheng NIU, Sheng ZHOU, Yuxuan SUN. Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions[J]. Journal on Communications, 2022, 43(2): 1-14. DOI： 10.11959/j.issn.1000-436x.2022041.

摘要

面向国家“碳达峰”与“碳中和”的“双碳”战略需求，移动通信与网络需要在满足不断增长的业务需求前提下大幅度降低全网能耗，因此需要研究使用更少的能量传递更多信息（SMILE

send more information bits with less energy）的理论与技术。为了应对该挑战，仅靠无线传输技术的改进和硬件实现水平的提高是远远不够的，需要从系统和网络的角度探索能量的高效利用机理与方法。从能量的“节流”和“开源”2 个维度展开，并针对日益增长的计算能耗给出解决方案。具体地，通过引入超蜂窝网络架构实现网络的柔性覆盖与弹性接入，使业务基站和边缘服务器在业务量较低时可以进入休眠状态，减少能量的浪费（即“节流”）。同时，大量引入可再生绿色能源（即“开源”），通过能量流与信息流的智能适配，大幅降低电网的能耗。进一步地，通过网络功能虚拟化、通信与计算资源的高能效协同，以及移动智能体的分布式计算与协同等手段，实现绿色计算与人工智能算法。

Abstract

Driven by the Carbon-peaking and Carbon-neutrality strategic goals

future mobile communication and networks need to drastically reduce energy consumption while satisfying the growing traffic demand.Therefore

it is necessary to study the theories and technologies used to send more information bits with less energy (SMILE).To meet the challenge

it was far from enough to rely solely on the improvements of wireless transmission technologies and hardware.It was necessary to explore efficient energy utilization mechanisms from the perspective of the system and network.Both energy saving and renewable energy utilization approaches were proposed

and solutions for the growing computing energy consumption were provided.Specifically

by introducing hyper-cellular network

agile coverage and elastic access were realized

and thus service base stations and edge servers could enter the sleeping mode to save energy when the traffic volume was low.Meanwhile

by the introduction of renewable energy and the smart adaption of energy flow and information flow

the energy consumption of the power grid could be greatly reduced.Furthermore

green computing and artificial intelligence could be realized through network function virtualization

energy-efficient coordination of communication and compute resources

and distributed computing and coordination approaches of moving agents.

关键词

Keywords

references

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