Performance Comparison of Machine Learning Algorithms in Symbol Detection Using OFDM
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5529-6_36
Reference19 articles.
1. A.Y. Reddy, B.L. Reddy, A. S. Naga Veera Sai, MSE and BER analysis of text, audio and image transmission using ML based OFDM, IEEE International Conference for Innovation in Technology (INOCON). BANGLURU, 1–3 (2020). https://doi.org/10.1109/INOCON50539.2020.9298204
2. D. Chen, Y. Tian, D. Qu, T. Jiang, OQAM-OFDM for wireless communications in future Internet of Things: a survey on key technologies and challenges. IEEE Internet Things J. 5(5), 3788–3809 (2018). https://doi.org/10.1109/JIOT.2018.2869677
3. C.A. Origanti, C. Naveen, M.S. Sai Bhargav, MSE and BER analysis of OFDM in Rician channel, 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184) (2020), pp. 877–881. https://doi.org/10.1109/ICOEI48184.2020.9142941.
4. J.S. Raj, Machine learning implementation in cognitive radio networks with game-theory technique. J. IRO J. Sustain. Wireless Syst. (2), 68–75 (2020)
5. B. Tegin, T.M. Duman, Machine Learning at Wireless Edge with OFDM and Low Resolution ADC and DAC (2020) . arXiv preprint arXiv:2010.00350
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