表紙
市場調查報告書

綠色5G:5G節能戰略

Green 5G: 5G's Energy-Saving Strategies

出版商 IDATE DigiWorld 商品編碼 955119
出版日期 內容資訊 英文 47 Pages
商品交期: 最快1-2個工作天內
價格
綠色5G:5G節能戰略 Green 5G: 5G's Energy-Saving Strategies
出版日期: 2020年08月24日內容資訊: 英文 47 Pages
簡介

5G很可能會增加網絡消耗,因為它需要增加使用量,採用新頻段並增加網絡密度。

該報告調查並分析了5G推出中涉及的環境問題,並提供了有關節能解決方案(人工智能,睡眠模式,虛擬化等)的系統信息。

目錄

第1章執行摘要

第2章移動網絡消費增加的背後因素

  • 簡介
  • 在各個方面迅速增加流量
  • 網絡拓撲受到頻譜的強烈影響
  • 映射的關鍵在於增加網絡密度和增加消耗
  • 核心網絡也受到密度增加的影響
  • 大規模MIMO開發
  • 許多來源意味著大量消費
  • 5G性能推動能耗增加

第3章節能/優化解決方案

  • 摘要:減少能耗的主要途徑
  • 基站的高級睡眠模式
  • 大規模MIMO系統降低能耗
  • 人工智能(機器學習)在節能中的作用
  • 半導體和現有系統優化方面的進展
  • 替換舊網絡(2G/3G/4G)設備
  • 靈活的頻譜共享,可有效過渡到4G/5G
  • 接入網虛擬化和資源共享

第4章公司定位

  • 摘要:設備供應商定位
  • 設備供應商節能方法的比較
    • Huawei
    • Nokia
    • Ericsson
    • Samsung
  • 摘要:操作員定位
  • 公司節能定位
    • Orange
    • AT&T
    • China Mobile
    • Telefonica
    • Vodafone
目錄
Product Code: M20430MRA

This report analyses the ways in which environmental concerns are being factored into 5G rollouts.

It is highly likely that 5G will drive an increase in networks' consumption, as it enables a growing number of uses, employs new frequency bands and requires increased network density, moving beyond the confines of classic broadband.

That said, a host of initiatives are focused on optimising per-unit consumption levels. This report takes a look at a number of solutions designed to reduce and optimise energy consumption (AI, sleep modes, virtualisation, etc.).

The world's leading telecom manufacturers, equipment suppliers and operators are working to adopt these energy-saving solutions which, more and more, are being seen as selling points.

This report examines the strategies of some 20 market players, providing a detailed analysis for ten of them.

The report answers the following questions:

  • How will 5G change network consumption?
  • What are the main (current and future) avenues for reducing 5G's consumption?
  • How are equipment suppliers tackling energy saving issues?
  • Which operators have the greenest strategic plans and most ambitious carbon-neutrality targets?

Table of Contents

1. Executive Summary

2. Factors behind mobile networks' increased consumption

  • 2.1. Introduction
  • 2.2. Traffic surging on all fronts
  • 2.3. Network topologies highly influenced by spectrum
  • 2.4. Increased network density, key to mapping the rise in consumption
  • 2.5. Core network also affected by increased density
  • 2.6. Development of Massive MIMO
  • 2.7. More transmission sources means more consumption
  • 2.8. 5G performances driving increased energy consumption

3. Energy savings and optimisation solutions

  • 3.1. Summary: main paths to reducing energy consumption
  • 3.2. Base stations' advanced sleep modes
  • 3.3. Reducing massive MIMO systems' energy consumption
  • 3.4. Role of AI (Machine Learning) in energy saving
  • 3.5. Progress in semiconductors and optimising existing systems
  • 3.6. Replacing old networks' (2G/3G/4G) equipment
  • 3.7. Flexible spectrum sharing for an efficient transition to 4G/5G
  • 3.8. Access network virtualisation and resource sharing

4. Players' positioning

  • 4.1. Summary: equipment suppliers' positioning
  • 4.2. Comparison of equipment suppliers' approach to energy savings
    • Huawei
    • Nokia
    • Ericsson
    • Samsung
  • 4.3. Summary: operators' positioning
  • 4.4. How players are positioned on energy consumption. Orange
    • Orange
    • AT&T
    • China Mobile
    • Telefónica
    • Vodafone

List of tables and figures

Factors behind mobile networks' increased consumption

  • Networks' energy consumption curve and future scenarios
  • Breakdown of a mobile networks' sources of energy consumption
  • 5G target performances (IMT-2020)
  • Forecast increase in monthly mobile traffic worldwide
  • Main pros and cons of the different frequency bands
  • How calling networks have evolved to accommodate more complex and demanding uses
  • The core network's evolution
  • Comparison of cell vs. massive MIMO coverage
  • Progression of MIMO antenna configurations and associated power needs
  • Key principles of 5G and how they effect the networks' energy consumption

Energy savings and optimisation solutions

  • Main paths to reducing a network's energy consumption
  • Sleep modes defined in 5G standards
  • Implementing an AI-based energy savings mechanism
  • Snapshot of equipment suppliers' solutions using AI to manage sleep modes
  • Progression of the size of a 5G base station over the course of its development cycle
  • Example of a typical evolution in the different radio technologies frequency bands use
  • Comparison of virtualised and non-virtualised radio access network architecture

How players are positioned

  • Comparison of how the main equipment suppliers are positioned with respect energy efficiency
  • Evolution of Huawei's active antenna solutions
  • Ericsson's different energy-saving features
  • Measures being taken by operators to limit energy consumption
  • How operators are position on energy consumption
  • Progression of energy consumption (in GWh) by Orange fixed and mobile networks
  • Difference between the two 5G services launched by AT&T and impact on network density
  • Progression of energy consumption (in GWh) by AT&T fixed and mobile networks
  • Coordinated deactivation of frequency bands according to traffic helps reduce electricity consumption
  • When traffic is multiplied by 3.5 over consumption remains stable
  • Distribution of energy savings across the network
  • Evolution of the Vodafone network's energy consumption