Please use this identifier to cite or link to this item:
Title: Utilization of idle time slot in spectrum sensing under noise uncertainty
Authors: Tumar, Iyad Khalil 
Arar, Adnan Mohammad 
Abd El-Saleh, Ayman 
Keywords: Asynchronous sensing;Cognitive radio networks;Noise uncertainty;Signal-To-Noise Ratio;SNR wall
Issue Date: 2022
Publisher: International Journal of Electrical and Computer Engineering
Abstract: Spectrum sensing in cognitive radio (CR) is a critical process as it directly influences the accuracy of detection. Noise uncertainty affects the reliability of detecting vacant holes in the spectrum, thus limiting the access of that spectrum by secondary users (SUs). In such uncertain environment; SUs sense the received power of a primary user (PU) independently with different measures of signal-to-noise ratio (SNR). Long sensing time serves in mitigating the effect of noise uncertainty, but on the cost of throughput performance of CR system. In this paper, the scheme of an asynchronous and crossed sensing-reporting is presented. The scheme reduces energy consumption during sensing process without affecting the detection accuracy. Exploiting the included idle time (𝑇𝑖) in sensing time slot; each SU collects power samples with higher SNR directly performs the reporting process to a fusion center (FC) consecutively. The FC terminates the sensing and reporting processes at a specific sensing time that corresponds to the lowest SNR (𝑆𝑁𝑅𝑤𝑎𝑙𝑙). Furthermore, this integrated scheme aims at optimizing the total frame duration (𝑇𝑓). Mathematical expressions of the scheme are obtained. Analytical results show the efficiency of the scheme in terms of energy saving and throughput increment under noise uncertainty.
DOI: 10.11591/ijece.v12i1.pp431-444
Appears in Collections:Fulltext Publications

Files in This Item:
File Description SizeFormat
Utilization of idle time slot in spectrum sensing under noise uncertainty.pdf714.07 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Jun 27, 2024


checked on Jun 27, 2024

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.