Performance Analysis of Energy Detection-Based Spectrum Sensing over Fading Channels

The key enabling functionality of a cognitive radio is to ensure that it would not interfere with primary users, by reliably detecting primary user signals. Due to the low computational complexity, Energy detector is a widely used spectrum sensing method. The performance of energy detector in fading channels has been previously analyzed in some papers. However, these analyses are based on the exact model which makes the results computationally complex. In this paper, we propose some simple and reliable closed forms solutions for probability of detection in Nakagami fading channels. Furthermore, since cognitive users should be able to adjust the spectrum sensing time according to the desired probability of detection and tolerable probability of false alarm, a direct relationship between sensing time and SNR in terms of the aforementioned probabilities is needed. In this article, the N-SNR relationship is also calculated for Nakagami fading channels under some tolerable simplifications.

[1]  John D Edell Wideband, Noncoherent, Frequency-Hopped Waveforms and Their Hybrids in Low-Probability-of-Intercept Communications , 1976 .

[2]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[3]  Danijela Cabric,et al.  Experimental study of spectrum sensing based on energy detection and network cooperation , 2006, TAPAS '06.

[4]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[5]  Murat Torlak,et al.  A Comparison of Energy Detectability Models for Spectrum Sensing , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.