A Comparison of Energy Detectability Models for Cognitive Radios in Fading Environments

Authors:
Selami Ciftci;Murat Torlak
Affiliations:
R & D Department, Turk Telekom, AS, Ankara, Turkey;Department of Electrical Engineering, The University of Texas at Dallas, Richardson, USA 75080
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

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Abstract

In this work, we first analyze the accuracy of different energy detector models in approximating the exact solution in AWGN. These models motivate us to develop approximation analysis to address energy detection for fading channels. Our analysis develops approximation that has almost the same performance as the exact solution in Rayleigh channels. Our new model is simple enough to derive the relationship between the required number of samples (N) and the signal-to-noise ratio for a single Rayleigh channel similar to the one obtained for AWGN channels. We also define a fading margin for link budget calculations that relates N in fading channels to AWGN channels. Furthermore, we analyze the impact of multiple antennas for cognitive radios considering two receiver diversity schemes and quantify the improvement in performance regarding this margin. All the analytical results derived in this paper are verified by simulations. Finally, we have implemented and verified energy detection models in our multiple antenna wireless testbed.