DocumentCode :
2507435
Title :
Power Management for Cognitive Radio Platforms
Author :
Khajeh, Amin ; Cheng, Shih-Yang ; Eltawil, Ahmed M. ; Kurdahi, Fadi J.
Author_Institution :
Univ. of California Irvine, Irvine
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
4066
Lastpage :
4070
Abstract :
This paper discusses how the cognitive radio concept can be extended to allow the system not only to manage shared resources such as spectrum, but to use this knowledge to optimize the overall system power consumption. We introduce a case study of video over wireless via a 3G WCDMA modem connected to an H.264 decoder. We show that by utilizing knowledge about the communication channel, a savings of more than 20% of the overall system power is possible while maintaining a required quality of service.
Keywords :
cognitive radio; quality of service; telecommunication network management; video coding; video communication; wireless channels; 3G WCDMA modem; H.264 decoder; cognitive radio platforms; communication channel; power management; quality of service; shared resources management; system power consumption; video over wireless; Cognitive radio; Energy consumption; Energy management; Knowledge management; Modems; Multiaccess communication; Power system management; Radio spectrum management; Resource management; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.773
Filename :
4411683
Link To Document :
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