BER Analysis of Energy Detection Spectrum Sensing in Cognitive Radio Using GNU Radio

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.





References:
[1] Arslan, Huseyin, "Cognitive radio, software defined radio, and adaptive
wireless systems", Springer London, Limited, 2007.
[2] Reis, Garcia and Luiz, Andre, "Introduction to the Software-defined
Radio Approach", IEEE Latin America Transactions, vol. 10, no. 1, pp.
1156-1161, 2012.
[3] Ettus, Matt, "USRP Users and Developers Guide", Ettus Research LLC,
2005
[4] Radio, GNU, The gnu software radio, Available from World Wide Web:
https://gnuradio.org, 2007.
[5] Lin, Yi-Bing and Lin, Pin-Jen, "Performance Measurements of TD-LTE,
WiMAX and 3G Systems", IEEE Wireless communication,s vol.20,
2013.
[6] Giuliano, Romeo and Mazzenga, Franco, "Exponential effective SINR
approximations for OFDM/OFDMA-based cellular system planning", ,
IEEE Transactions on Wireless Communications, vol.8, no. 9, pp. 4434-
4439, 2009.
[7] B. Siva Kumar Reddy, B. Lakshmi, “Channel Coding and Clipping in
OFDM for WiMAX using SDR,” International Journal on Recent
trends in Engineering and Technology, Vol. 9, pp 1-12, 2013.
[8] Ryu, Heung-Gyoon and Kim, Do-Hoon, "Design of Wireless System
with Minimum Eb/No and Optimization of Power Consumption",
International Journal of Energy, Information & Communications, vol. 3,
no. 2, 2012.