Research on collaborative spectrum sensing algorithm based on energy detection

Electromagnetic spectrum is a limited natural resource, the demand for spectrum resources continues to increase, and the contradiction between the unlimited growth of demand and the limited resources has become a key factor limiting the development of communication. Cognitive radio technology alleviates this contradiction by reusing electromagnetic spectrum. Accurate sense spectrum is the premise of cognitive radio. Due to the influence of channel affection, the single node spectrum sensing results are prone to deviation, and the accuracy of spectrum sensing can be improved by using multi-node cooperative sensing. Based on this, this paper presents a multi-node collaborative sensing algorithm. And fusion criteria, OR fusion criteria and K-rank fusion criteria are used to fuse the spectrum information sensed by different nodes to improve the reliability of spectrum sensing results. Finally, simulation verifies the performance of multi-node collaborative sensing algorithms under different fusion criteria.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946632
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
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Research on collaborative spectrum sensing algorithm based on energy detection

Yaoyao Liu, Xin Zhou, Liuwen Li, Jiajun Wang et al.
Cognitive Radio Networks and Spectrum Sensing
article

Research on collaborative spectrum sensing algorithm based on energy detection

Yaoyao Liu, Xin Zhou, Liuwen Li, Jiajun Wang, Wei Xie, Han Zhou
article en

Abstract

Electromagnetic spectrum is a limited natural resource, the demand for spectrum resources continues to increase, and the contradiction between the unlimited growth of demand and the limited resources has become a key factor limiting the development of communication. Cognitive radio technology alleviates this contradiction by reusing electromagnetic spectrum. Accurate sense spectrum is the premise of cognitive radio. Due to the influence of channel affection, the single node spectrum sensing results are prone to deviation, and the accuracy of spectrum sensing can be improved by using multi-node cooperative sensing. Based on this, this paper presents a multi-node collaborative sensing algorithm. And fusion criteria, OR fusion criteria and K-rank fusion criteria are used to fuse the spectrum information sensed by different nodes to improve the reliability of spectrum sensing results. Finally, simulation verifies the performance of multi-node collaborative sensing algorithms under different fusion criteria.

Tianjin Normal University (CN), National University of Defense Technology (CN), Chengdu University (CN)
Affordable and clean energy
Openalex Percentile: Top 65%
Cognitive Radio Networks and Spectrum Sensing
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Research on collaborative spectrum sensing algorithm based on energy detection — Yaoyao Liu, Xin Zhou, et al. · (2024) | TGRS Research Map | TGRS