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The PRB usage curves of three base stations. - ResearchGate
www.researchgate.net › figure › The-PR...
Jan 15, 2024 · This institution has produced different research approaches, ranging from the study of algorithms based on a scalable Gaussian process for wireless traffic ...
Dec 14, 2023 · “Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification,” IEEE Journal on. Selected Areas in Communications, vol.
Jul 1, 2024 · Xu, J. Lin, and S. Cui, ''Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification,''.
Jul 9, 2024 · In this paper, we provide a study on existing NTP techniques through reviewing, investigating, and classifying the recent relevant works conducted in this ...
Jul 19, 2024 · Yin, W. Xu, J. Lin, and S. Cui, “Wireless traffic prediction with scalable gaussian process: Framework, algorithms, and verification,”.
[1808.00560] Compressible Spectral Mixture Kernels with Sparse ... - ar5iv
ar5iv.labs.arxiv.org › abs
Mar 2, 2024 · Xu, J. Lin, S. Cui, Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification, IEEE J. Sel. Areas Commun. 37 ...
Mar 19, 2024 · Cui, “Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification,”. IEEE J. Sel. Areas Commun., vol. 37, no. 6, pp ...
Sep 9, 2023 · Wireless traffic prediction with scalable Gaussian process: Framework, algorithms, and verification. IEEE J. Sel. Areas Commun. 2019, 37, 1291–1306. [Google ...
Apr 4, 2024 · This tool empowers prediction algorithms not just with historical traffic data but also with insights from optimization outcomes. The goal is to minimize a loss ...
Jul 22, 2024 · Simulation results show that using regression trees for both classification and prediction, coupled with the DRL-based adaptive resource manager, outperform ...