Interference Detection Among Secondary Users Deployed in Television Whitespace

Author:

Notcker JoachimORCID,Adetiba EmmanuelORCID,Abayomi AbdultaofeekORCID,Oshin OluwadamilolaORCID,Greyson Kenedy AliilaORCID,Ifijeh Ayodele HephzibahORCID,Babatunde Alao

Publisher

Springer Nature Switzerland

Reference23 articles.

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2. Zhou, X., Sun, M., Li, G.Y., Fred Juang, B.H.: Intelligent wireless communications enabled by cognitive radio and machine learning. China Commun. 15(12), 16–48 (2018)

3. Adetiba, E., Matthews, V.O., John, S.N., Popoola, S.I., Abayomi, A., Chen, K.: NomadicBTS : Evolving cellular communication networks with software-defined radio architecture and open-source technologies. Cogent Eng. 5(1), 1–15 (2018). https://doi.org/10.1080/23311916.2018.1507465

4. ITU (International Telecommunications Union). Measuring digital development. Facts and figures 2019. ITU Publ. pp. 1–15 (2019). https://www.itu.int/myitu/-/media/Publications/2020-Publications/Measuring-digital-development-2019.pdf

5. Okokpujie, K., Reuben, A., Ofoche, J.C., Biobelemoye, B.J., Okokpujie, I.P.: A comparative analysis performance of data augmentation on age-invariant face recognition using pretrained residual neural network. J. Theor. Appl. Inf. Technol. 99(6), 1309–1319 (2021)

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