Reduced complexity spectrum sensing based on maximum eigenvalue and energy
ISWCS 2013; The Tenth International Symposium on Wireless …, 2013•ieeexplore.ieee.org
Eigenvalue-based spectrum sensing methods have been proposed for advanced cognitive
radios to solve the low SNR and noise uncertainty challenges. One very crucial drawback of
eigenvalue based spectrum sensing techniques is their high computation complexity. In this
paper, power methods for eigenvalue computation are studied with the proposed energy
with maximum eigenvalue (EMaxE) detection as potential methods for reduced complexity.
radios to solve the low SNR and noise uncertainty challenges. One very crucial drawback of
eigenvalue based spectrum sensing techniques is their high computation complexity. In this
paper, power methods for eigenvalue computation are studied with the proposed energy
with maximum eigenvalue (EMaxE) detection as potential methods for reduced complexity.
Eigenvalue-based spectrum sensing methods have been proposed for advanced cognitive radios to solve the low SNR and noise uncertainty challenges. One very crucial drawback of eigenvalue based spectrum sensing techniques is their high computation complexity. In this paper, power methods for eigenvalue computation are studied with the proposed energy with maximum eigenvalue (EMaxE) detection as potential methods for reduced complexity.
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