Abstract
With the development of wireless communication technology, the shortage of spectrum resources has become a serious problem in the field of wireless communication. Spectrum sensing technology is one of the main ways to solve the above problems because it can detect whether the channel is occupied to find the available idle frequency band. In this paper, a multi-channel broadband spectrum parallel sensing method is proposed, and the performance of the model sensing method in spectrum sensing is verified by experiments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Guo Wen Xiang, F.: A review of cognitive radio spectrum sensing technology. Communications Tech. (02), 51–51 (2018)
Zhang Jun Qiang, F.: Spectrum sensing technology of cognitive radio, Modern Info. Tech. (05), 02–03 (2018)
Zhao Nan, F.: Research on the multi-channel dynamic spectrum management method in cognitive radio, 2nd edn. China water resources and Hydropower Press, China (2019)
Qiao Yu, F.: Energy optimized spectrum sensing scheme in cognitive radio sensor networks, Computer Eng. Design (05), 40–41 (2019)
Mukhtaruzzaman Mohammad, F.: Atiquzzaman mohammed clustering in vehicular ad hoc network: algorithms and challenges, Computers and Electr. Eng. (08), 87–88 (2020)
Yao Kan, F.: Prediction based spectrum sensing scheme in cognitive radio networks, Computer Eng. Design (10), 41–42 (2020)
Hossain Mohammad Asif, F.: Spectrum sensing challenges & their solutions in cognitive radio based vehicular networks Int. J. Commun. Syst. (02), 23–25 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhou, B., Xu, TQ., Li, ZY., Cai, HW., Shi, CG., Chen, Z. (2022). Design of a Multi-channel Spectrum Perception Performance Verification Model. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2021. Lecture Notes in Electrical Engineering, vol 878. Springer, Singapore. https://doi.org/10.1007/978-981-19-0390-8_10
Download citation
DOI: https://doi.org/10.1007/978-981-19-0390-8_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0389-2
Online ISBN: 978-981-19-0390-8
eBook Packages: EngineeringEngineering (R0)