Green Wireless Communication - IEEEewh.ieee.org/r10/calcutta/comsoc/lecture_ETCOMS13.pdf · A....
Transcript of Green Wireless Communication - IEEEewh.ieee.org/r10/calcutta/comsoc/lecture_ETCOMS13.pdf · A....
02 February, 2013Jadavpur, Kolkata
Aniruddha Chandra
Electronics & Communication Engineering Department, National Institute of Technology, Durgapur.
Green Wireless Communication Green Wireless Communication
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ETCOMS 2013
Green Communication =
Energy Efficient Communication
A new timely idea
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ETCOMS 2013OutlineOutline
Energy Efficiency – Why?
Energy Efficiency – How?
Case Study
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ETCOMS 2013OutlineOutline
Energy Efficiency – Why?
Energy Efficiency – How?
Case Study
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Why?
Traditional perspective:
- Reduced Tx power → reduced reliability.
- To maintain QoS, Tx rate should be reduced.
Ecological perspective:
- Reduce greenhouse gas emission.
Economical perspective:
- Reduce OPEX cost.
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Traditional Perspective
Value BW most:
- Ever increasing subscriber base.
- Strict spectrum regulations.
- R&D focus on BW efficient radio access techniques.
- These complex techniques demand more processing power.
A typical MIMO-OFDM Tx Rx ckt
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Traditional Perspective
What about energy?
- Battery powered mobile terminals → limited energy.
- Limited energy → limited reliable data rate.
BER vs. SNR curves (M = 16) BW efficiency vs. power efficiency
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Ecological Perspective
2007 statistics on environmental impact:
- A cellular network ~ Energy for 1,70,000 homes.
- 3% of the energy consumption.
- 2% of CO2 emission.
- The figures are going to triple by 2020.
Objects in Mirror are Close than
they Appear
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Sources of Greenhouse Gas Emission
Operation of radio access network:
- RF transmission.
- Fossil fuel powered BS.
- Charging of devices.
Device/ equipment production.
Backbone network operation.
A. Fehske et al. “The global footprint of mobile communications: the ecological and economic perspective,” IEEE Commun. Magz., 49 (8), 55-62, 2011.
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Economical Perspective
Decreasing revenue:
- Vodafone annual ARPU decreased from € 30 (2000) to € 16 (2009).
Increasing fuel cost:
- Diesel cost has doubled since 2008.
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ETCOMS 2013
Energy Consumption
Cost components:
Energy components:
- Feeder network.
- RF conversion.
- Climate control (e.g., air conditioning).
Energy EfficiencyEnergy Efficiency
Energy components for BS
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ETCOMS 2013Energy EfficiencyEnergy Efficiency
Energy Cost Calculation
Revenue generated:
- No. of subscribers per cell site ~ 800.
- ARPU ~ 3$ / month.
- Monthly revenue ~ 800 x 3$ = 2400 $.
Cost for energy:
- Energy cost ~ 0.20 $/ kWh.
- Power requirement per BS ~ 1.7 kW.
- Cost per month ~ 30 (days) x 24 (hours) x 1.7 x 0.20 $ = 244 $.
10% of total revenue (even before tax, interest, depreciation)!
BSSubscriber
Subscriber
Cell site
Power plant
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ETCOMS 2013OutlineOutline
Energy Efficiency – Why?
Energy Efficiency – How?
Case Study
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ETCOMS 2013
Energy Savings in Base Stations
Improvements in PA:
- Linear PAs → 90% wastage.
- DPD, Doherty, GaN based PA.
Power saving mode:
- Sleep mode, discontinuous Tx/ Rx.
Optimization:
- BS placement, cell size.
Energy Efficient MethodsEnergy Efficient Methods
V. Mancuso et al. “Reducing costs and pollution in cellular networks,” IEEE Commun. Magz., 49 (8), 55-62, 2011.
Z. Hasan et al. “Green cellular networks: a survey, some research issues and challenges,”IEEE Commun. Surveys Tuts., 13 (4), 524-40, 2011.
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ETCOMS 2013
Energy Savings in Base Stations
Renewable energy:
- Sustainable bio-fuel.
- Solar energy.
- Wind energy.
New BS architecture:
- Short, low power RF cable between Amp. & Ant.
- Feeder less site.
Reduce no. of BS?C. Lubritto et al. “Energy and environmental aspects of mobile communication systems,”Energy, 36 (2), 1109-14, 2011.
Solar powered BS (Italy)
Energy Efficient MethodsEnergy Efficient Methods
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ETCOMS 2013
New Communication Strategies
MIMO / beamforming:
- Diversity.
- More sectors per cell site.
Cognitive radio:
- Find unused spectrum, BW traded off for power.
Use a third node:
- Reduce effective transmission distance.
Energy Efficient MethodsEnergy Efficient Methods
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ETCOMS 2013OutlineOutline
Energy Efficiency – Why?
Energy Efficiency – How?
Case Study
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ETCOMS 2013
Save Energy by Introducing Relays
Basic idea:
- Transmit power,
- Realized over two hops,
Consider circuit energy:
- Energy consumed by Tx and Rx circuit at source, destination, and relay.
Overall energy saving:
- Depends on relay placement.
Case StudyCase Study
nT
nT CdPdP =⇒∝
212211 ;, dddCdPCdP nT
nT +===
( ) TTTnnn PPPdddd ≤+⇒+≤+ 212121
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ETCOMS 2013Relay PlacementRelay Placement
Collinear Model
Relay DestinationSource
Direct Path(Reference level)
Relayed Path
42.2 m (Optimum location)
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ETCOMS 2013Relay PlacementRelay Placement
Non-linear Model
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ETCOMS 2013Relay PlacementRelay Placement
Non-linear Model
Floor plan of 1st floor of ECE department, National Institute of Technology
My Cabin!
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ETCOMS 2013Relay PlacementRelay Placement
Non-linear Model
Energy saving contours superimposed on Floor plan
B. Ghosh et al. “Placing the ‘third’ node: An energy efficiency perspective,” Proc. IEEE CODEC, Kolkata, Dec. 2012.
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ETCOMS 2013
Open Problems
Relay - To use or not to use:
- Always cooperate, or use relay only when the direct link fails?
Relay selection:
- If there are many relay nodes, how many and which ones to select?
Other issues:
- Multiple antennas at relay, distributed STC etc.
Relay PlacementRelay Placement
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ETCOMS 2013SummarySummary
Value energy.
Various means to reduce energy consumption.
Use of wireless relays is one of them.
A single collinear relay may save upto 40% energy.
For non-linear setup, an energy efficient region may be found to place the relay.
Many open problems, we need you!
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ETCOMS 2013Read More About ItRead More About It
Green Communication1. G. Y. Li et al., “Energy efficient wireless communications: Tutorial, survey,
and open issues,” IEEE Wireless Commun. Magz., 18 (6), 28-35, 2011.
Modelling Energy Consumption
1. S. Cui et al., “Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks,” IEEE JSAC, 22 (6), 1089-98, 2004.
2. G. G. de Oliveira Brante et al., “Energy efficiency analysis of some cooperative and non-cooperative transmission schemes in wireless sensor networks,” IEEE TCOM, 59 (10), 2671-77, 2011.