Radio Frequency Pattern Matching - Subscriber Location in 5G Networks
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48415-5_9
Reference21 articles.
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2. Al-Rashdan, W.Y., Tahat, A.: A comparative performance evaluation of machine learning algorithms for fingerprinting based localization in DM-MIMO wireless systems relying on big data techniques. IEEE Access 8, 109522–109534 (2020). https://doi.org/10.1109/ACCESS.2020.3001912. https://ieeexplore.ieee.org/document/9115664/
3. Al-Shawabka, A., et al.: Exposing the fingerprint: dissecting the impact of the wireless channel on radio fingerprinting. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, pp. 646–655 (2020). https://doi.org/10.1109/INFOCOM41043.2020.9155259
4. Arthur, D., Vassilvitskii, S.: K-Means++: The Advantages of Careful Seeding, pp. 1027–1035. Society for Industrial and Applied Mathematics, USA (2007)
5. Atteya, M.: Kronecker product with applications. J. Algebra Appl. 1, 2016–2017 (2016). https://doi.org/10.14419/jaa.v1i1.35
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