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2010 WUN CogCom Meeting in SingaporeOn the Challenges and Trendsof Green Communications

Honggang Zhang, Ph.D.

Zhejiang University, China

Pan Pacific Hotel, Singapore

April 10, 2010

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Green Communications NOT just decrease power

consumption and increase energyefficiency

NO!

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Green Communications- Our basic philosophy

InterferenceEnvironment

EnergyEfficiency

SpectrumEfficiency

EnergyEfficiency

SpectrumEfficiency

InterferenceAlignment

GreenCommunications

Coupling

Coupling

Coupling

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Observation I:Paradigm change - convergence of

cellular networks, mobile Internet and

broadcasting

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Observation I:Paradigm change - convergence of cellularnetworks, mobile Internet and broadcasting

Note: Courtesy of Dr Murray Milner

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Observation I:Paradigm change - convergence of cellularnetworks, mobile Internet and broadcasting

Note: Courtesy of Dr Murray Milner

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Heterogeneity & convergence of cellularnetworks, mobile Internet and

broadcasting

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Integrated greener architecture, models &metrics for converged cellular networks, mobile

Internet and broadcasting

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Integrated greener architecture, models &metrics

Integrated models & metrics for evaluating energy andspectrum consumption (e.g., backhaul, BS, AP, mobileterminal, path fading & gain, high & low frequency, etc.)

Energy & spectrum-efficient and interference-alignedarchitecture

Multiple-tier converged wired & wireless networks: Optimal energy (power) & spectrum resources assignment in

terms of both EE (energy efficiency) and SE (spectrum efficiency) Interference environment is characterized by Interference

Temperature

Multi-hoproaming & handover Bonding energy & spectrum

requirements by end-to-end QoS and QoE (quality-of-efficiency)

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Energy efficiency in cellular mobilecommunications

Note: Courtesy of Green Radio project, UK

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Observation II: Interferenceenvironment plays a key role

Note: Courtesy of Green Radio project, UK

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Dynamic spectrum access/management & Interference Alignment

Applying dynamic spectrum access (DSA) to minimize energyconsumption by employing bands with LOW interference

Energy & spectrum-efficient architecture & protocols utilizingInterference Alignment to remove interference

Interference environment is characterized by Interference

Temperature Flexible power allocation adaptive to fluctuating Interference

Temperature

Interference environment characterization &control by Green Cognitive Radio

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Flexible power allocation adaptive to fluctuatingInterference Temperature

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Flexible power allocation adaptive to fluctuatingInterference Temperature

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Flexible power allocation adaptive to fluctuatingInterference Temperature

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Observation III: Networking traffic loadfluctuation and wireless fading channel

dynamics

Scale energy (power) consumption with networking traffic loadScale energy (power) consumption with wireless fading channel dynamics

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Traditional schemes aremyopic in terms of theevolution of the average path

gain (or traffic load). They

merely try to combat wirelessimpairments (or overload) due

to short scale fading (variation)

Traditional schemes are

agnostic about long term

channel evolution

More extra energy (power)

consumption

Learning channel and networking variationtrends in long-term by Green Cognitive Radio

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Learning channel and networking variationtrends in long-term by Green Cognitive Radio

Note: Courtesy of Dr. David Grace, University of York, UK

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Learning channel and networking variationtrends in long-term by Green Cognitive Radio

Note: Courtesy of Dr. David Grace, University of York, UK

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SpectrumEfficiency

EnergyEfficiency

Learning channel and networking variationtrends in long-term by Green Cognitive Radio

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Observation IV: Smart Building - Reduction ofEnergy Demand in Buildings through OptimalUse of Wireless Behavior Information in the

whole Life Cycle

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Daily Power Consumption of a ReferenceFlat in a Multi-Media World

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Thanks to WUN CogCom

Consortium!

Honggang Zhang

Zhejiang University, ChinaEmail: honggangzhang@zju.edu.cn

mailto:honggangzhang@zju.edu.cnmailto:honggangzhang@zju.edu.cn