AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 2 of 19 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
A tractable DVP characterization for 5G HARQ is developed that accounts for queueing, transmission, decoding, and feedback delay, as well as the contribution of Control Signaling transmissions to the overall delay, under practical timing assumptions consistent with 3GPP operation.
This work introduces a physics- and tail-informed VAE-EVT (variational autoencoder-extreme value theory) framework that distinctly models both the bulk and tail distribution of SNR, and significantly outperforms the state-of-the-art GAN-based model.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.