based SleepWake Architecture for Next Generation Green Cellular Access Networks Md Farhad Hossain Kumudu S Munasinghe and Abbas Jamalipour Presented by Yasser Mohammed ID: 397894
Download Presentation The PPT/PDF document "A Protocooperation" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Slide1
A Protocooperation-based Sleep-Wake Architecturefor Next Generation Green Cellular Access Networks
Md. Farhad Hossain, Kumudu S. Munasinghe and Abbas Jamalipour
Presented by
: Yasser MohammedSlide2
Motivations and ResultsOver 80% of the energy in cellular networks is consumed at the access networks. In order to reduce the carbon footprint generated by cellular networks
a novel energy efficient cellular access network architecture is proposed. With the adoption of the wake-up technology, base transceiver stations (BTSs) are made to protocooperate
with each other to achieve higher energy efficiency within a cellular access network.
Using the proposed network architecture and sleep-awake algorithm, energy in the order of
73%
can be saved in individual base stations.Slide3
OutlineSection 2: Literature Survey
Motivation behind providing energy efficient access networks and the proposed systemSection 3: Ecological Balance and SustainabilityHow concepts of ecological balance can be applied to today’s homogeneous and future heterogeneous networks to develop a sustainable network infrastructure
Section 4: Proposed Architecture
Examine the current cellular access networks. Propose the new network architecture and wake-up enabled base stations and examine their benefits
Section 5: Proposed Algorithm
Analyze the Sleep-Wake (SLAKE) algorithm
Section 6: Simulation and ResultsSlide4
Sections 2 and 3BackgroundSlide5
The radio access networks consumed
80% of the total energy consumed by cellular network infrastructureMore than 50% of cell-site operating expenditure is spent to power up
base
stations
Some suggested methods to save energy in cellular networks
shutting down some BTSs during low traffic time
high efficiency transmission scheduling
decreasing the size of the cells
design of improved BTSs which requires less cooling
sharing BTSs among different operators
using sectored cells
using renewable energy sourcesSlide6
Wake up technology has shown great potential in other fields of applications such as Personal Computers,
Wi-Fi, Wireless Sensor Networks and EthernetFactors to consider when applying similar wake-up schemes in cellular networks:highly dynamic nature of the network due to roaming
users between
BTSs
unpredictable
mobility pattern
channel
holding times of
users
maintaining
QoS
of
the services
wide
coverage area per
BTS
limited BTS
capacity
time variant channel characteristicsSlide7
Protocooperation is one of the ecological interactions by which two interacting species gain benefit through cooperation. However, this type of cooperation is not compulsory for
the survival of any of these two species.Different types of interactions among large number of homogeneous and heterogeneous components in an ecosystem play a key role in maintaining its sustainability.NGMN is considered as an ecosystem, then different networks connected to the NGMN can be thought to be analogous to different components of the Earth’s heterogeneous ecosystem.
If communication networks are developed based on the principle of sustainability of the ecosystem those networks would be also self-sustainable.Slide8
Proposed architecture and algorithmHow they obtained their results…Slide9
Sleep-Wake up enabled base stationsBase stations have 3 modes of operation: active, sleep and OFF
Active mode:BS is fully functional and both transmission and reception continue as normalSleep mode:a ‘wake-up module’ is located at each BS which will remain active to ‘sense’ or ‘hear’ any request from other BSs to switch in to active mode in the event of higher traffic arrival rates or the sudden failure of a neighbouring BS
OFF mode:
The BTSs will remain disconnected from the power supply.Slide10
Protocooperative Cellular Access Networks
Cooperation happens through:traffic sharingbandwidth sharingintelligent handoversexchange of information on channel conditions
n
etwork loadingSlide11
SLAKE algorithmSlide12
Simulation and resultsFacts, Figures and NumbersSlide13
Simulation SetupMATLAB
simulations180 overlapping macro cells having equal capacity of circular shapeFunction used to generate traffic pattern at each BS cell:Transmit power of carrier frequencies of acceptor BSs is programmable, power increment will be allowed if necessaryCells are sectored and hence the BSs are equipped with directional antennas such that any power increment can be accomplished only in the specified direction for eliminating any deteriorating interference problems
Slide14
The simulation time represents 24 hours of a day, which has been performed for three different cases: similar
traffic pattern for each BS, i.e., peak time and off-peak time coincides in all the BTSsmoderate variations in traffic patterns, i.e., peak time
and off-peak time varies moderately among the
BSs
relatively
high variations
in traffic patterns, i.e.,
peak time
and off-peak time varies relatively high among the
BSs
.Slide15
BS saves
72.9% energy consumption in comparison to always active operating mode.Certain period (14:00 hrs to 18:30 hrs) of its active time, it carries more traffic than it would
have been carried out in an ‘Always-ON’ cellular systemSlide16Slide17
A
verage sleeping time for the three scenarios is 10.2, 9.7 and 7.2 hours respectively and hence, energy savings are
42.5%
,
41.0%
and
30%
respectively.Slide18
Take Away PointsBSs are equipped with
more intelligence enabling them to make decisions by cooperating with each other for reducing energy consumption.Proposed architecture is distributed,
adaptive
and
autonomous
.
This architecture is suitable for both homogeneous networks as well as next generation heterogeneous networks.
Proposed architecture and algorithm can save a substantial amount of energy at the access networks, which is very important for achieving a self- sustainable green communications future.