US 11,902,055 B2
Classes of NN parameters for channel estimation
Yejian Chen, Stuttgart (DE); Stefan Wesemann, Kornwestheim (DE); Thorsten Wild, Stuttgart (DE); and Jafar Mohammadi, Stuttgart (DE)
Assigned to NOKIA TECHNOLOGIES OY, Espoo (FI)
Appl. No. 17/908,726
Filed by NOKIA TECHNOLOGIES OY, Espoo (FI)
PCT Filed Mar. 6, 2020, PCT No. PCT/EP2020/056066
§ 371(c)(1), (2) Date Sep. 1, 2022,
PCT Pub. No. WO2021/175444, PCT Pub. Date Sep. 10, 2021.
Prior Publication US 2023/0125699 A1, Apr. 27, 2023
Int. Cl. H04L 25/02 (2006.01)
CPC H04L 25/0254 (2013.01) [H04L 25/0224 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus, comprising:
at least one processor; and
at least one memory including computer program code, wherein the at least one memory and the computer program code are configured, with the at least one processor, to cause the apparatus to:
identify a value of an onsite channel characteristic of a receive channel;
request a neural network parameter, wherein the request comprises an indication of the onsite channel characteristic;
monitor if the neural network parameter is received in response to the request; and
estimate the receive channel by a neural network using the neural network parameter if the neural network parameter is received.