DocumentCode :
3200416
Title :
System power consumption minimization for multichannel communications using cognitive radio
Author :
He, An ; Srikanteswara, Srikathyayani ; Bae, Kyung Kyoon ; Newman, Timothy R. ; Reed, Jeffrey H. ; Tranter, William H. ; Sajadieh, Masoud ; Verhelst, Marian
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear :
2009
fDate :
9-11 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Power consumption has been a significant issue for many mobile and wireless devices, especially those with high rate applications. This paper presents a methodology and framework to minimize system power consumption for multichannel communications using cognitive radio (CR) based on the application quality of service requirement, the channel condition, and the radio capabilities and characteristics. The CR framework enables an adaptation process that is aware of the radio (component) capabilities and characteristics. This paper mathematically formulates a system power consumption minimization problem under a rate constraint for multichannel communications and develops numerical solutions. Simulation results show that the knowledge of the radio capabilities and characteristics can help to reduce system power consumption significantly (e.g., up to 55% for a multichannel system with Class A power amplifiers).
Keywords :
cognitive radio; power consumption; quality of service; wireless channels; channel condition; cognitive radio; mobile devices; multichannel communications; numerical solutions; quality of service requirement; radio capabilities; system power consumption minimization; wireless devices; Chromium; Cognitive radio; Energy consumption; Helium; MIMO; Mobile communication; Power amplifiers; Power engineering and energy; Power engineering computing; Quality of service; Cognitive radio; multichannel communications; power amplifiers; power consumption;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Communications, Antennas and Electronics Systems, 2009. COMCAS 2009. IEEE International Conference on
Conference_Location :
Tel Aviv
Print_ISBN :
978-1-4244-3985-0
Type :
conf
DOI :
10.1109/COMCAS.2009.5386063
Filename :
5386063
Link To Document :
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