Spectrum sensing with L-th best relay selection

Faisal Alanazi

doi:10.1007/s11235-025-01322-x

Spectrum sensing with L-th best relay selection

Faisal Alanazi

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This paper computes the detection probability of spectrum sensing with L-th best relay selection. The Primary User (PU) signal is amplified to Fusion Node (FN) by the relay with the L-th best Signal to Noise Ratio (SNR). Spectrum sensing using the energy detector is performed at fusion node using the relayed signal. We study blind and non blind relays with Opportunistic Amplify and Forward (OAF), Partial and Reactive Relay Selection (PRS and RRS). Our computation are valid for Rayleigh channels with different position of nodes. We compute the detection probability and signal to noise ratio statistics and compare the results to Matlab simulations.

Original language	English
Article number	90
Journal	Telecommunication Systems
Volume	88
Issue number	3
DOIs	https://doi.org/10.1007/s11235-025-01322-x
State	Published - Sep 2025

Keywords

L-th best relay selection
Rayleigh channels
Spectrum sensing

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10.1007/s11235-025-01322-x

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title = "Spectrum sensing with L-th best relay selection",

abstract = "This paper computes the detection probability of spectrum sensing with L-th best relay selection. The Primary User (PU) signal is amplified to Fusion Node (FN) by the relay with the L-th best Signal to Noise Ratio (SNR). Spectrum sensing using the energy detector is performed at fusion node using the relayed signal. We study blind and non blind relays with Opportunistic Amplify and Forward (OAF), Partial and Reactive Relay Selection (PRS and RRS). Our computation are valid for Rayleigh channels with different position of nodes. We compute the detection probability and signal to noise ratio statistics and compare the results to Matlab simulations.",

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N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

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N2 - This paper computes the detection probability of spectrum sensing with L-th best relay selection. The Primary User (PU) signal is amplified to Fusion Node (FN) by the relay with the L-th best Signal to Noise Ratio (SNR). Spectrum sensing using the energy detector is performed at fusion node using the relayed signal. We study blind and non blind relays with Opportunistic Amplify and Forward (OAF), Partial and Reactive Relay Selection (PRS and RRS). Our computation are valid for Rayleigh channels with different position of nodes. We compute the detection probability and signal to noise ratio statistics and compare the results to Matlab simulations.

AB - This paper computes the detection probability of spectrum sensing with L-th best relay selection. The Primary User (PU) signal is amplified to Fusion Node (FN) by the relay with the L-th best Signal to Noise Ratio (SNR). Spectrum sensing using the energy detector is performed at fusion node using the relayed signal. We study blind and non blind relays with Opportunistic Amplify and Forward (OAF), Partial and Reactive Relay Selection (PRS and RRS). Our computation are valid for Rayleigh channels with different position of nodes. We compute the detection probability and signal to noise ratio statistics and compare the results to Matlab simulations.

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Spectrum sensing with L-th best relay selection

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Keywords

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