Energy Efficiency Modeling of Heterogeneous Network

By: Junaid Ali Khan(朱乃东 )

ID: I201021190

Supervisor:Associate Prof. Su Gang

Outline

Motivation BackgroundSystem Model Simulation ResultsConclusion

Motivation

Care for our home (Planet Earth)Survival of Human race depends upon the survival of Planet Earth.

Energy efficient system is more profitable.

Background

1990s:

•Introduction of GSM

2012:

•6 billion mobile subscribers

@

•New 1000 users/minute

Background

50% expenditure is of electricity bill in a cellular network.

4 million base stations with 12,000 new BS every year

1 BS=25MWh per year

1 medium cellular network consume as much energy as 170,000 homes.

Heterogeneous Network

Cells

Macro

Micro

Pico

Femto

Heterogeneous NetworkUsing different

access technologies

Range expansion

Improved system energy efficiency

Improved system capacity

Related Work

Base station cooperation

Reducing cell size

Low power nodes

Energy efficient

hardwareothers

System Model

D: Inter site DistanceR: length of side

Propagation Model

Prx is the received power

Ptx is the transmitted power

r is the propagation distanceλ is the path loss exponent ψ is the random variable to denote shadowing

Cell Coverage

Cell coverage is the region covered in cell when the received power is above certain level (Pmin).

Ac denotes cell area

Area Spectral Efficiency

Mean of achievable rates in a network per unit bandwidth per unit area, measured in bits per second per Hertz per square kilometer.

Ᾱ represents large area around reference siteϒ(r,φ,ψ) denote the SNR at (r,φ).

Area power consumption

Defined as the average power consumed in a cell divided by the cell area, its unit is Watt per square kilometer

is a parameter to assess the efficiency of energy budget of a cellular network

Site power consumption

aM represents the Tx power dependent losses like power amplifier Feeder lossSite cooling

bM represents offset power likesignal processing Battery backupSite cooling

System Capacity

Defined as the amount of traffic generated in the network given in bits per second.

Is a parameter to assess the capacity of the system.

Simulation Results

Parameter 1: Area consumption vs inter site distance

Simulation Results

Parameter 2: System capacity vs inter site distance

Conclusion

Energy efficiency

System capacity

Conclusion

Addition of micro sites increase power consumption but also increase system capacity.Breakeven point between power consumption and system capacity.Better to add micro sites than macro BS.Deployment of micro sites according to the requirements of scenario.

Future Work

Pico and femto cellsCell zooming along with micro sitesConsideration of different scenarios with non-uniform user allocation

Thank you