US 12,425,875 B2
Method and system for beam alignment in wireless network
Rishav Agarwal, Bangalore (IN); Ankur Pooniya, Bangalore (IN); Koustav Roy, Bangalore (IN); Sripada Kadambar, Bangalore (IN); and Chirodeep Paul, Bangalore (IN)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Sep. 29, 2022, as Appl. No. 17/956,318.
Application 17/956,318 is a continuation of application No. PCT/KR2021/003657, filed on Mar. 24, 2021.
Claims priority of application No. 202041013761 (IN), filed on Mar. 29, 2020; and application No. 2020 41013761 (IN), filed on Mar. 17, 2021.
Prior Publication US 2023/0025445 A1, Jan. 26, 2023
Int. Cl. H04W 16/28 (2009.01)
CPC H04W 16/28 (2013.01) 15 Claims
OG exemplary drawing
 
1. A method of performing beam alignment by a user equipment (UE) of a wireless network, comprising:
determining, by the UE based on a plurality of parameters associated with the UE, a first quality level of a connection of the UE in a first orientation and at a first geographical location, the connection using a first beam from at least one network entity of the wireless network;
determining, by the UE based on the first quality level, a second geographical location that maximizes a data rate of the UE and is within a predetermined distance threshold from the first geographical location;
determining, by the UE based on the first quality level, a second orientation from a plurality of orientations at the second geographical location, wherein a second quality level of the second orientation exceeds the first quality level; and
changing, by the UE, an orientation of the UE from the first orientation to the second orientation, and causing a geographical location of the UE to change from the first geographical location to the second geographical location,
wherein the determining of the second orientation comprises:
estimating, by the UE based on the plurality of parameters, for each orientation of the plurality of orientations, a corresponding quality level of the connection at the first geographical location;
identifying, by the UE and using a machine learning (ML) model, the second orientation based on the corresponding quality level of the connection; and
determining, by the UE, that the corresponding quality level of the second orientation exceeds the first quality level, and
wherein the ML model has been trained for identifying the second orientation by:
receiving one or more parameters corresponding to a particular beam;
normalizing, based on the one or more parameters, a reference signal received power (RSRP) of the particular beam;
determining, based on the normalized RSRP, an upper confidence bound (UCB) value for a candidate geographical location corresponding to the at least one network entity and the first orientation of the UE;
storing the UCB value in a database of the UE; and
updating, based on stored UCB values, the candidate geographical location having the at least one network entity with a beam and the second orientation.