SNR-Walls in Eigenvalue-based Spectrum Sensing


A. Bollig, C. Disch, M. Arts, R. Mathar,


        Various spectrum sensing approaches have been shown to suffer from a so-called signal-to-noise ratio (SNR)-wall, an SNR value below which a detector cannot perform robustly no matter how many observations are used. Up to now, the eigenvalue-based maximum-minimum-eigenvalue (MME) detector has been a notable exception. For instance, the model uncertainty of imperfect knowledge of the receiver noise power, which is known to be responsible for the energy detector’s fundamental limits, does not adversely affect the maximum-minimum-eigenvalue (MME) detector’s performance. While additive white Gaussian noise (AWGN) is a standard assumption in wireless communications, it is not a reasonable one for the maximum-minimum-eigenvalue (MME) detector. In fact, in this work, we prove that uncertainty in the amount of noise coloring does lead to an SNR wall for the maximum-minimum-eigenvalue (MME) detector. We derive a lower bound on this SNR wall and evaluate it for example scenarios. The findings are supported by numerical simulations.

BibTEX Reference Entry 

	author = {Andreas Bollig and Constantin Disch and Martijn Arts and Rudolf Mathar},
	title = "SNR-Walls in Eigenvalue-based Spectrum Sensing",
	pages = "1-10",
	journal = "EURASIP Journal on Wireless Communications and Networking",
	volume = "2017",
	number = "1",
	doi = 10.1186/s13638-017-0899-y,
	month = Jun,
	year = 2017,
	hsb = RWTH-2017-05802,


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