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Adaptive Traffic Indication Algorithm for Energy efficiency in IEEE 802.16e SystemsJenhui Chen, Yu-Lin Li, and Hua-Chiang Yin
Communications of the ACM, February 2008
Outline
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Introduction System Model Adaptive Traffic Indication Algorithm Performance Analysis Conclusion
Introduction
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In order to effectively manage the limited power, the sleep mode operations contain three power saving classes.
This paper design a traffic indication algorithm combine power saving with scheduler operation.
Sleep modes
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Sleep Mode
Sleep Mode
Sleep Mode
NormalMode
SleepMode
ListenMode
Power-Saving Class of Type I
Power-Saving Class of Type II
Power-Saving Class of Type III
Sleep Mode
Sleep Mode
Sleep Mode
NormalMode
SleepMode
ListenMode
Power-Saving Class of Type I
Power-Saving Class of Type II
Power-Saving Class of Type III
System Model
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System Model
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System Model
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Adaptive Traffic Indication Algorithm
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MAC Resource with AMC Scheme
Adaptive Traffic Indication Algorithm
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Available Bandwidth Allocation
Adaptive Traffic Indication Algorithm
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Adaptive Traffic Indication Algorithm
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The Selection Criteria
Adaptive Traffic Indication Algorithm
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Adaptive Traffic Indication Algorithm
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Performance Analysis
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The Average Energy Consumption
Performance Analysis
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Analysis Result E[C] among
different traffic ratio PE among
Different traffic ratio
Performance Analysis
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Analysis Result E[C] among different Te E[C] among
different Tmin
Performance Analysis
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Simulation
Conclusion
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ATIA avoid a problem of an MS will waste its battery energy if there is no available bandwidth for it.
ATIA should be optimized to combine with different scheduler operation and admission control.