Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 4, 27 November 2023


Open Access | Article

Joint detection algorithm for multiple cognitive users in spectrum sensing

Fanfei Meng * 1 , Yuxin Wang 2 , Lele Zhang 3 , Yingxin Zhao 4
1 Northwestern University
2 Northwestern University
3 Nankai University
4 Nankai University

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 4, 16-25 Advances in Engineering Innovation,
Published 27 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Fanfei Meng, Yuxin Wang, Lele Zhang, Yingxin Zhao. Joint detection algorithm for multiple cognitive users in spectrum sensing. AEI (2023) Vol. 4: 16-25. DOI: 10.54254/2977-3903/4/2023053.

Abstract

Spectrum sensing technology is a crucial aspect of modern communication technology, serving as one of the essential techniques for efficiently utilizing scarce information resources in tight frequency bands. This paper first introduces three common logical circuit decision criteria in hard decisions and analyzes their decision rigor. Building upon hard decisions, the paper further introduces a method for multi-user spectrum sensing based on soft decisions. Then the paper simulates the false alarm probability and detection probability curves corresponding to the three criteria. The simulated results of multi-user collaborative sensing indicate that the simulation process significantly reduces false alarm probability and enhances detection probability. This approach effectively detects spectrum resources unoccupied during idle periods, leveraging the concept of time-division multiplexing and rationalizing the redistribution of information resources. The entire computation process relies on the calculation principles of power spectral density in communication theory, involving threshold decision detection for noise power and the sum of noise and signal power. It provides a secondary decision detection, reflecting the perceptual decision performance of logical detection methods with relative accuracy.

Keywords

multi-user collaboration perception; energy detection; dual energy threshold; false alarm probability; detection probability

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
2977-3903
ISBN (Online)
2977-3911
Published Date
27 November 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/4/2023053
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated