MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202647067610 A) filed by Nokia Technologies Oy on May 29, 2026, for Expansion Or Compression Of Transport Block(s) Based On A Reverse Autoencoder Neural Network.
Inventors include Yanakiev, Boyan; Barbu, Oana-Elena; and Rosa, Claudio.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Various example embodiments relate to expansion or compression of data of a transport block. An apparatus may comprise means for receiving, from another apparatus, training assistance data for training at least one part of a reverse autoencoder neural network, the reverse autoencoder neural network comprising: an expander neural network configured to determine an expanded representation of data of a transport block to cause the data of the transport block to have a designated size; and a compressor neural network configured to determine, based on the expanded representation of the data of the transport block, a compressed representation of the data of the transport block to reconstruct the data of the transport block, wherein the expander neural network is an encoder of the reverse autoencoder neural network and the compressor neural network is a decoder of the reverse autoencoder neural network.
Disclaimer: Curated by HT Syndication.
