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Adaptive Traffic Indication Algorithm for Energy efficiency in IEEE 802.16e Systems Jenhui Chen, Yu-Lin Li, and Hua- Chiang Yin Communications of the ACM, February 2008
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
Page 2
Introduction System Model Adaptive Traffic Indication Algorithm Performance Analysis Conclusion
Introduction
Page 3
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
Page 4
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
Page 5
System Model
Page 6
System Model
Page 7
Adaptive Traffic Indication Algorithm
Page 8
MAC Resource with AMC Scheme
Adaptive Traffic Indication Algorithm
Page 9
Available Bandwidth Allocation
Adaptive Traffic Indication Algorithm
Page 10
Adaptive Traffic Indication Algorithm
Page 11
The Selection Criteria
Adaptive Traffic Indication Algorithm
Page 12
Adaptive Traffic Indication Algorithm
Page 13
Performance Analysis
Page 14
The Average Energy Consumption
Performance Analysis
Page 15
Analysis Result E[C] among
different traffic ratio PE among
Different traffic ratio
Performance Analysis
Page 16
Analysis Result E[C] among different Te E[C] among
different Tmin
Performance Analysis
Page 17
Simulation
Conclusion
Page 18
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.
