Performance Analysis of ML Techniques for Spectrum Sensing in Cognitive Radio-Reference-Cited by-同舟云学术

Performance Analysis of ML Techniques for Spectrum Sensing in Cognitive Radio

Published:2023 Issue: Volume: Page:463-472
ISSN:2367-3370
Container-title:Information and Communication Technology for Competitive Strategies (ICTCS 2022)
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Author:

Sandya H. B.,Nagamani K.,Rahiti Y.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9304-6_43

Reference9 articles.

1. Parvathy A, Narayanan G (2020) Comparative study of energy detection and matched filter based spectrum sensing techniques. In: 12th international conference on computational intelligence and communication networks (CICN), pp 147–153

2. Ernesto CM, Martinez P, Fernando L (2020) Cooperative energy spectrum sensing for mobile cognitive radio networks using SDR. IEEE Colombian conference on communications and computing (COLCOM)

3. Kockaya K, Develi K (2020) Spectrum Sensing in Cognitive Radio Networks: Threshold Optimization and Analysis. EURASIP J Wirel Commun Network

4. Duzenli T, Akay O (2019) A new method of spectrum sensing in cognitive radio for dynamic and randomly modelled primary users. IETE J Res

5. Shavanthi L, Nagamani K, Sandya HB (2018) Implementation of DVB standards using software-defined radio. In: 2018 3rd IEEE international conference on recent trends in electronics, information & communication technology (RTEICT-2018)

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