Robust spectrum sensing under noise uncertainty for spectrum sharing

Autor: Chang‐Joo Kim, Eun Sook Jin, Kyung‐yul Cheon, Seon‐Hwan Kim
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: ETRI Journal, Vol 41, Iss 2, Pp 176-183 (2019)
Druh dokumentu: article
ISSN: 1225-6463
2233-7326
DOI: 10.4218/etrij.2018-0360
Popis: Spectrum sensing plays an important role in spectrum sharing. Energy detection is generally used because it does not require a priori knowledge of primary user, (PU) signals; however, it is sensitive to noise uncertainty. An order statistics (OS) detector provides inherent protection against nonhomogeneous background signals. However, no analysis has been conducted yet to apply OS detection to spectrum sensing in a wireless channel to solve noise uncertainty. In this paper, we propose a robust spectrum sensing scheme based on generalized order statistics (GOS) and analyze the exact false alarm and detection probabilities under noise uncertainty. From the equation of the exact false alarm probability, the threshold value is calculated to maintain a constant false alarm rate. The detection probability is obtained from the calculated threshold under noise uncertainty. As a fusion rule for cooperative spectrum sensing, we adopt an OR rule, that is, a 1‐out‐of‐N rule, and we call the proposed scheme GOS‐OR. The analytical results show that the GOS‐OR scheme can achieve optimum performance and maintain the desired false alarm rates if the coefficients of the GOS‐OR detector can be correctly selected.
Databáze: Directory of Open Access Journals
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