Title :
Minimizing Energy Consumption Using Cognitive Radio
Author :
He, An ; Srikanteswara, Srikathyayani ; Reed, Jeffrey H. ; Chen, Xuetao ; Tranter, William H. ; Bae, Kyung Kyoon ; Sajadieh, Masoud
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
Abstract :
In this paper, we show how cognitive radio can help minimize energy consumption of a wireless mobile communication device. We propose an energy optimization framework using cognitive radio for a given quality of service requirement based on the channel and the radio capabilities. The cognitive radio not only adjusts modulation, coding, and radiated power, as with conventional adaptive modulation, but also adjusts component characteristics (e.g., power amplifier characteristics) so that the radio operates with the highest energy efficient possible way. Simulation results show that significant energy savings (up to 75%) can be achieved compared to conventional adaptive modulation. This framework also can be applied to optimize radio operations to achieve additional goals.
Keywords :
cognitive radio; mobile radio; power consumption; cognitive radio; energy consumption minimisation; energy optimization framework; wireless mobile communication device; Chromium; Cognitive radio; Delay; Energy consumption; Modulation coding; Power amplifiers; Power engineering and energy; Power generation; Quality of service; Wireless communication;
Conference_Titel :
Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International
Conference_Location :
Austin, Texas
Print_ISBN :
978-1-4244-3368-1
Electronic_ISBN :
1097-2641
DOI :
10.1109/PCCC.2008.4745093