Performance Comparison of Markov Chain and LSTM Models for Spectrum Prediction in GSM Bands-Reference-Cited by-同舟云学术

Performance Comparison of Markov Chain and LSTM Models for Spectrum Prediction in GSM Bands

Published:2020-10-23 Issue: Volume: Page:289-298
ISSN:2367-3370
Container-title:Machine Learning for Predictive Analysis
language:
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Author:

Bidwai Sandeep^ORCID,Mayannavar Shilpa^ORCID,Wali Uday V.^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-7106-0_29

Reference20 articles.

1. B. Fette, Cognitive Radio Technology, Communication Engineering Series, (Elsevier, Burlington, MA01803, USA 2006)

2. S. Bidwai, U.V. Wali, B. Shirgapur, S. Bidwai, Detecting white spaces for cognitive radio, in International Conferences on Smart Electronics Systems-2016, KLE Dr MSS CET, Belagavi, Int. J. Technol. Sci. 3(4), 57–60 (2016)

3. T.W. Rondeau, C.J. Rieser, T.M. Gallagher, C.W. Bostian, Online modeling of wireless channels with hidden markov models and channel impulse responses for cognitive radios, in IEEE MTT-S Digest (2004), pp. 739–742

4. K. Kim, I.A. Akbar, K.K. Bae, J-S. Um, C.M. Spooner, J.H. Reed, Cyclostationary approaches to signal detection and classification in cognitive radio, (IEEE, 2007), pp. 212–215

5. C.-H. Park, S.-W. Kim, S.-M. Lim, M.-S. Song, HMM based channel status predictor for cognitive radio, in IEEE Proceedings of Asia-Pacific Microwave Conference (2007)

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