US 12,483,930 B2
Binary variational (biv) CSI coding
Jun Tan, Glenview, IL (US); and Jie Chen, Naperville, IL (US)
Assigned to Nokia Technologies Oy, Espoo (FI)
Filed by Nokia Technologies Oy, Espoo (FI)
Filed on Apr. 28, 2022, as Appl. No. 17/732,343.
Prior Publication US 2023/0354096 A1, Nov. 2, 2023
Int. Cl. H04W 28/06 (2009.01); H04B 7/06 (2006.01); G06N 3/0455 (2023.01); G06N 3/0475 (2023.01)
CPC H04W 28/06 (2013.01) [H04B 7/0626 (2013.01); G06N 3/0455 (2023.01); G06N 3/0475 (2023.01)] 19 Claims
OG exemplary drawing
 
1. A method for predicting using a machine learning based channel state information coding system, comprising:
providing, to a machine learning encoder comprised at a user equipment, channel state information to generate a latent variable representation of the channel state information comprising a log-likelihood ratio vector of log-likelihood ratio values;
performing binary sampling, by a binary sampler comprised at the user equipment, to generate a random binary vector representing the channel state information from the log-likelihood ratio vector wherein the binary sampling converts the log-likelihood ratio vector into the random binary vector based on a sign function that uses a log-likelihood ratio value and a random variable as input; and
sending, by the user equipment, a measurement report to a base station, wherein the measurement report includes the random binary vector representing the channel state information to enable the base station to decode the random binary vector, using a machine learning decoder, in order to reconstruct the channel state information.