US 12,452,109 B2
Channel estimation using artificial intelligence
Seyed Ali Akbar Fakoorian, San Diego, CA (US); Dawei Zhang, Saratoga, CA (US); Haitong Sun, Cupertino, CA (US); Huaning Niu, San Jose, CA (US); Oghenekome Oteri, San Diego, CA (US); Sigen Ye, San Diego, CA (US); Wei Zeng, Saratoga, CA (US); Weidong Yang, San Diego, CA (US); and Yushu Zhang, Beijing (CN)
Assigned to Apple Inc., Cupertino, CA (US)
Appl. No. 17/756,852
Filed by Apple Inc., Cupertino, CA (US)
PCT Filed Jun. 7, 2021, PCT No. PCT/CN2021/098673
§ 371(c)(1), (2) Date Jun. 3, 2022,
PCT Pub. No. WO2022/256981, PCT Pub. Date Dec. 15, 2022.
Prior Publication US 2024/0406036 A1, Dec. 5, 2024
Int. Cl. H04L 25/02 (2006.01); H04L 5/00 (2006.01)
CPC H04L 25/0254 (2013.01) [H04L 5/0048 (2013.01); H04L 25/0204 (2013.01); H04L 25/0226 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An apparatus comprising memory coupled to processing circuitry, the processing circuitry configured to:
operate a user equipment (UE) in a current channel estimation mode comprising either one of a first mode or a second mode, wherein the first mode is a training mode for an artificial intelligence (AI) based channel estimation model comprising receiving first reference signals (RS) having a first RS overhead and wherein the second mode is an inference mode for the AI-based channel estimation model comprising receiving second reference signals (RS) having a second RS overhead;
process, based on signaling from a network, an indication to switch from the current channel estimation mode to a new channel estimation mode comprising the other one of the first mode or second mode;
generate, for transmission to the network, an acknowledgment that the indication was received; and
switch from the current channel estimation mode to the new channel estimation mode in accordance with the indication.