@article{(Open Science Index):https://publications.waset.org/pdf/9999657,
	  title     = {BER Analysis of Energy Detection Spectrum Sensing in Cognitive Radio Using GNU Radio},
	  author    = {B. Siva Kumar Reddy and  B. Lakshmi},
	  country	= {},
	  institution	= {},
	  abstract     = {Cognitive Radio is a turning out technology that
empowers viable usage of the spectrum. Energy Detector-based
Sensing is the most broadly utilized spectrum sensing strategy.
Besides, it's a lot of generic as receivers doesn't would like any
information on the primary user's signals, channel data, of even the
sort of modulation. This paper puts forth the execution of energy
detection sensing for AM (Amplitude Modulated) signal at 710 KHz,
FM (Frequency Modulated) signal at 103.45 MHz (local station
frequency), Wi-Fi signal at 2.4 GHz and WiMAX signals at 6 GHz.
The OFDM/OFDMA based WiMAX physical layer with
convolutional channel coding is actualized utilizing USRP N210
(Universal Software Radio Peripheral) and GNU Radio based
Software Defined Radio (SDR). Test outcomes demonstrated the
BER (Bit Error Rate) augmentation with channel noise and BER
execution is dissected for different Eb/N0 (the energy per bit to noise
power spectral density ratio) values.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {11},
	  year      = {2014},
	  pages     = {1699 - 1705},
	  ee        = {https://publications.waset.org/pdf/9999657},
	  url   	= {https://publications.waset.org/vol/95},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 95, 2014},