ETSI Green Agenda 26 November 2009 HOW TO REDUCE-GREEN ... · ETSI Green Agenda 26 November 2009...

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ETSI Green Agenda 26 November 2009 HOW TO REDUCE-GREEN HOUSE GAS EMISSIONS FROM ICT EQUIPMENT Wireless Networks, EARTH research project Alcatel-Lucent, Bell Labs Stuttgart Ulrich Barth

Transcript of ETSI Green Agenda 26 November 2009 HOW TO REDUCE-GREEN ... · ETSI Green Agenda 26 November 2009...

Page 1: ETSI Green Agenda 26 November 2009 HOW TO REDUCE-GREEN ... · ETSI Green Agenda 26 November 2009 HOW TO REDUCE-GREEN HOUSE GAS EMISSIONS FROM ICT EQUIPMENT Wireless Networks, EARTH

ETSI Green Agenda 26 November 2009

HOW TO REDUCE-GREEN HOUSE GAS EMISSIONS FROM ICT EQUIPMENT

Wireless Networks, EARTH research project

Alcatel-Lucent, Bell Labs Stuttgart

Ulrich Barth

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Energy Usage in Wireless Networks

All Rights Reserved © Alcatel-Lucent 2009

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Contribution of ICT to global CO2-Emission

•Carbon footprint of

the entire ICT industry

is estimated to be 2%

of the total human

carbon footprint.

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carbon footprint.

� comparable to the world-wide

CO2 emissions by airplanes or

� ¼ of the world-wide CO2

emissions by cars

Source: Gartner, Gartner Symposium/ITxpo 2007

other studies claim 3-4% when including total life cycle

Foto: Oliver Blume

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Smart 2020 Report: CO2 contribution of ICT

151Mt

349MtBusiness as usual scenario:

5-7% annual growth

Business as usual scenario

ICT

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151Mt

349Mt

Mobile phones 16Mt

Mobile networks

64Mt

Mobile networks

178Mt

6%

Mobile phones 22Mt

Home routersIPTV,…

14%

Mobile communications

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Energy is a significant portion of the OPEX for a Mobile Operator

Data volumedoubling annually

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Contribution of energy cost to OPEX

• growing with network build-up (3G densification and 4G rollout)

• growing with energy price increase

• 20-35% of OPEX (developed markets / emerging markets)

Source : “Road map to reduce energy consumption”, Green Telco World Congress 2009

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Where the Energy goes

Mobile networks energy use:

• 80% Base Station equipment

• 20% Mobile Core Network

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Large savings potential not only for quiet hours.

• Typically 10% of the sites carry 50% of all traffic.

• 50% of sites are lightly loaded, carrying only 5 % of the traffic00.00hrs 24.00hrs12.00hrs

Saved energy

Telecom traffic

Study on Energy Efficient Radio Access Network Technologies, 2009 Bell Labs, Alcatel-Lucent

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Energy Efficiency Trends for Base-stations

Trend 2000-2010 and schematic breakdown

Power Amplifier

12% efficiency

Antenna

1500W

AC Power In

AC & Rectifier

150W

SignalProcessing

150W

Air Condition

200W

Platform

Only 4% of power is transmitted into the air 3x20W

3x20W

Co-axialfeeder:50% loss

65% to PA

1000W

RF power

120W500W to rack

Power Amplifier

12% efficiency

Antenna

1500W

AC Power In

AC & Rectifier

150W

SignalProcessing

150W

Air Condition

200W

Platform

Only 4% of power is transmitted into the air 3x20W

3x20W

Co-axialfeeder:50% loss

65% to PA

1000W

RF power

120W500W to rack

Power Consumption Details in 1700W BS

300W 3x20W>20% of power is transmitted into the air300W 3x20W>20% of power is transmitted into the air

Power Consumption Details in Proposed 300W BS

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Base Station RackBase Station Rack

Remote

Radio Heads40% efficiency

Antenna

Base Station Rack

AC Power In

Platform

3x20W

DC and opticalfeeder:no loss

50% to RRH

150W

RF

pow

er

60W

AC & Rectifier

20W

SignalProcessing

110W

Air Condition

20W

Amplifier efficiency increase to 40%(proven in the labs)

Further improvement possible by adapting to low load situations(research work)

150W to rack

Remote

Radio Heads40% efficiency

Antenna

Base Station Rack

AC Power In

Platform

3x20W

DC and opticalfeeder:no loss

50% to RRH

150W

RF

pow

er

60W

AC & Rectifier

20W

SignalProcessing

110W

Air Condition

20W

Amplifier efficiency increase to 40%(proven in the labs)

Further improvement possible by adapting to low load situations(research work)

150W to rack

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The European Integrated Project

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The goal of the project is to address the global environmental challenge

• by investigating and proposing effective mechanisms to drastically reduce energy wastage & improve energy

Objectives

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drastically reduce energy wastage & improve energy efficiency of existing and future communication systems

• in particular in low-load conditions (which are most commonly experienced in most base stations) these savings could be even considerably higher.

• without compromising users’ perceived “quality” of service

to make ICT ecologically and economically sustainable for all sectors of society .

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Holistic approach to EE cellular networks

� Energy efficient network topologies, architectures & protocols

� Network management

� Radio devices

� Radio transmission

Methodology

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• For each topic (radio, networking, …), baselines and metrics will be defined.

• EARTH project will focus on research topics with a potential target of at least 50% of energy saving(with respect to current status).

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Reference scenarios

• Deployment strategies• Cooperation schemes

• PHY layer parameters• Transceiver architectures

• Traffic patterns• User densities • Higher layer strategies

Socio-economic impact

• Life cycle analysis• CO2 emissions• Key levers• Trends and impacts

Energy efficiency analysis, metrics and targets

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Metrics, analysis, and targets

• EE metrics on system level• Adequate utility functions• Optimization framework• Parameter studies• Analytical optimization• Breakdown of targets

Global metric

PHY layerCircuitry MAC / higher layers …

Tx Rx SignallingSignalprocessing

Access scheme Cooperation

System level

Component level

Energy consumption Spectral efficiency QoS requirements

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Deployment

overlay macro cell

Management RRM New Architecture

multi-RAT

Zzz

Adaptivebackhaul

Green Networks

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Disruptive approaches:

- multi-hop transmission- adhoc networks- terminal-terminal-transmission- cooperative multipoint arch.- EE adaptive backhauling

RRM algorithms :

- cooperative scheduling- interference coordination- joint power allocation andresource allocation

- EE vs spectral efficiency

Deployment scenarios:

- optimum cell size- mix of cell sizes- hierarchical deployment- multi-RAT deployments- relais & repeaters

Management algorithms:

- coverage adjustment- capacity management- Multi-RAT coordination- base station sleep mode- prototype protocol design

small cells

relays

EE adaptive cov./cap.

Zzz

EE topology

multi-hop

Future EE architecturesEE joint RRM

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Energy Efficiency EnablingRadio Interface Techniques

EE Technologies and Components

Power scaleable

Integrated optimisation consideringcomponent, radio and

interface to network-level

• Base station power adaptation• Sleep mode and associated signalling• Transmission mode adaptation• Dynamic load adaptation

Green Radio

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EE Enhancements of Innovative Radio Transmission

Techniques

• MIMO• Adaptive antennas• Coordinated multipoint• Advanced retransmission

Power scaleable transceivers

• Cross layer optimisation

Power control on component, front-end

and system level

Adaptable matching networks

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EARTH Consortium

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www.alcatel-lucent.comwww.alcatel-lucent.com

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