DocumentCode :
2132314
Title :
A statistical power-saving mechanism for IEEE 802.16 networks
Author :
Hsu, Chung-Hsien ; Feng, Kai-Ten
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
27
Lastpage :
31
Abstract :
The power-saving class of type I (PSC I), one of the sleep mode operations in the IEEE 802.16e standard, is designed to reduce power consumption for non-real-time traffic. However, the inefficiency of PSC I comes from its configuration and operation. Based on the notions of IEEE 802.16m sleep mode operation, a statistical sleep window control (SSWC) approach is proposed to improve energy efficiency for mobile stations in this paper. The SSWC approach exploits a partially observable Markov decision process (POMDP) to conjecture the present traffic state. Based on the properties of POMDP, the optimal policy for sleep window selection is acquired in the SSWC approach. The performance evaluation is conducted and compared via the simulations. Simulation results show that the proposed SSWC approach outperforms the IEEE 802.16e PSC I scheme and the inferred IEEE 802.16m power-saving mechanism.
Keywords :
WiMax; mobile radio; performance evaluation; power consumption; statistical analysis; IEEE 802.16 networks; IEEE 802.16e PSC I scheme; IEEE 802.16e standard; IEEE 802.16m power-saving mechanism; IEEE 802.16m sleep mode operation; POMDP; SSWC approach; energy efficiency; mobile stations; non-real-time traffic; optimal policy; partially observable Markov decision process; performance evaluation; power consumption reduction; sleep mode operations; sleep window selection; statistical power-saving mechanism; statistical sleep window control; Base stations; Energy consumption; Energy efficiency; Energy management; Power system management; Queueing analysis; Samarium; Standards development; Traffic control; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
Type :
conf
DOI :
10.1109/PIMRC.2009.5450040
Filename :
5450040
Link To Document :
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