DocumentCode :
3502472
Title :
Spectrum opportunity in UHF — ISM band of 902–928 MHz for cognitive radio
Author :
Kumar, Dhananjay ; Kalaichelvi, G. ; Saravanan, D. ; Loheswari, T.K.
Author_Institution :
Dept. of Inf. Technol., Anna Univ., Chennai, India
fYear :
2011
fDate :
14-16 Dec. 2011
Firstpage :
282
Lastpage :
286
Abstract :
The cognitive radio is an intelligent wireless communication system dynamically adapting itself to the operating environment by changing its parameters, towards reliable communication and efficient spectrum utilization. Radio scene analysis is the first and foremost task based on which the spectrum is sensed towards its efficient utilization. A real-time observation is needed to model the statistical data of spectrum utilization with reference to specific geographic location and time, which can be utilized in resource allocation of cognitive radio system. This paper presents typical spectrum occupancy of the 902-928 MHz ISM band obtained through signal strength measurements and its statistical study. The usage of such channel occupancy statistical data in the spectrum sensing formulation is also elaborated in a typical scenario for a frequency hopping system working in this band. The simulation result of energy based detection of the above system is presented to realize a cognitive environment.
Keywords :
channel allocation; cognitive radio; frequency allocation; ISM band; UHF band; channel occupancy; cognitive radio; energy based detection; frequency 902 MHz to 928 MHz; frequency hopping system; geographic location; intelligent wireless communication; radio scene analysis; resource allocation; signal strength measurement; spectrum opportunity; spectrum sensing; spectrum utilization; statistical data; Bandwidth; Cognitive radio; Sensors; Time frequency analysis; Wireless sensor networks; Cognitive radio; FCC; ISM; Spectrum sensing; TVWS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing (ICoAC), 2011 Third International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0670-6
Type :
conf
DOI :
10.1109/ICoAC.2011.6165189
Filename :
6165189
Link To Document :
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