Abstract
Spectrum sensing task is known to be one of the most important functionalities of a cognitive radio for dynamic spectrum access networks to be aware of the radio environment. Licensed user (primary user) detection has gained a great deal of interest recently on spectrum sensing strategies whereas unlicensed user (secondary user) detection must be a part of sensing with equal proportion of interest. This paper proposes a novel scheme that enables an efficient and robust spectrum sensing for both primary and secondary users detection. The proposed scheme is based on intentionally adding known noise at the sensing side. Then the sensing detector becomes insensitive to signal and noise types, and thus noise uncertainty problem is diminished. After sensing, the added noise is removed without affecting existing transmission on the channel. Although there have been several spectrum sensing methods, the proposed scheme is the optimal solution for spectrum sensing, to the best of our knowledge. DOI: http://dx.doi.org/10.5755/j01.eee.21.6.13769
Highlights
Due to fast growing demand of wireless communications with a fixed spectrum allocation in finite radio sources, spectrum reuse applications motivate the recent researches
In many practical wireless communication situations, there is no information about the primary user signal forms so sensing needs blind algorithms that operate without any prior knowledge on the primary signals and the channel
We proposed a new cognitive radio scheme focusing on spectrum sensing capability and investigated its performance under various noisy and fading environments
Summary
Due to fast growing demand of wireless communications with a fixed spectrum allocation in finite radio sources, spectrum reuse applications motivate the recent researches. Allowing multiple users (primary user and secondary users) to share a radio channel needs true and fast algorithm for determining the status of the channel as occupied or idle. Spectrum sharing needs very fast user detection algorithms. Spectrum sensing concept covers the determination of the radio channel status, i.e., user detection on the radio source of interest. In many practical wireless communication situations, there is no information about the primary user signal forms so sensing needs blind algorithms that operate without any prior knowledge on the primary signals and the channel.
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