US 12,294,551 B2
NR framework for beam prediction in spatial domain
Keeth Saliya Jayasinghe Laddu, Espoo (FI); Qiping Zhu, Wheaton, IL (US); and Andrea Bonfante, Palaiseau (FR)
Assigned to Nokia Technologies Oy, Espoo (FI)
Filed by Nokia Technologies Oy, Espoo (FI)
Filed on Apr. 27, 2022, as Appl. No. 17/731,152.
Prior Publication US 2023/0353326 A1, Nov. 2, 2023
Int. Cl. H04L 5/00 (2006.01)
CPC H04L 5/006 (2013.01) [H04L 5/0048 (2013.01); H04L 5/0053 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a user equipment, at least a reporting configuration from a network, wherein the reporting configuration is associated with at least a first group of channel measurement resources to be measured by the user equipment and a second group of channel measurement resources for which beam indexes or beam measurements are predicted by a machine learning model comprised at the user equipment;
providing, as an input to the machine learning model comprised at the user equipment, at least a first set of measurements on the first group of channel measurement resources; and
reporting, to the network, channel measurement information, wherein the channel measurement information contains at least an index representing a channel measurement resource of the second group of channel measurement resources that are predicted, using at least the first set of measurements on the first group of channel measurement resources, by the machine learning model comprised at the user equipment.