BER Analysis of Energy Detection Spectrum Sensing in Cognitive Radio Using GNU Radio
Commenced in January 2007
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BER Analysis of Energy Detection Spectrum Sensing in Cognitive Radio Using GNU Radio

Authors: B. Siva Kumar Reddy, B. Lakshmi

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.

Keywords: BER, Cognitive Radio, GNU Radio, OFDM, SDR, WiMAX.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096699

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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.