DocumentCode
2744507
Title
Using cognitive radio to deliver ‘Green’ communications
Author
Grace, David ; Chen, Jingxin ; Jiang, Tao ; Mitchell, Paul D.
Author_Institution
Dept. of Electron., Univ. of York, York, UK
fYear
2009
fDate
22-24 June 2009
Firstpage
1
Lastpage
6
Abstract
This paper discusses different ways of delivering dasiagreenpsila cognitive radio based systems. Fundamental is the need to exploit the free spectrum available and power efficient modulation where possible. The paper describes a variable power/bandwidth efficient modulation strategy where the modulation level is adjusted by cognitively determining the assignment and use of the available spectrum, taking into account the channel occupancy probability. Battery life for different techniques is also considered. Secondly, the paper discusses ways to reduce the complexity overall of cognitive radio systems, particularly in the need for spectrum sensing by exploiting distributed artificial intelligence. Techniques presented show how it is possible to largely eliminate the need for spectrum sensing, along with the associated energy consumption, by using reinforcement learning to develop a preferred channel set in each device. Finally, the paper discusses the potential benefits of the use of antenna directionality to improve energy efficiency, and the associated problems that still must be solved before this technique can deliver dasiagreenpsila radio.
Keywords
channel allocation; cognitive radio; learning (artificial intelligence); modulation; bandwidth efficient modulation; battery life; channel occupancy probability; distributed artificial intelligence; energy efficiency; free spectrum usage; green cognitive radio; reinforcement learning; spectrum sensing; Artificial intelligence; Bandwidth; Batteries; Cognitive radio; Directional antennas; Directive antennas; Energy consumption; Energy efficiency; Equations; Learning; cognitive radio; distributed artificial intelligence; green radio; power-efficient modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Radio Oriented Wireless Networks and Communications, 2009. CROWNCOM '09. 4th International Conference on
Conference_Location
Hannover
Print_ISBN
978-1-4244-3423-7
Electronic_ISBN
978-1-4244-3424-4
Type
conf
DOI
10.1109/CROWNCOM.2009.5189203
Filename
5189203
Link To Document