US 12,446,035 B2
System and method to reduce PDCCH blind decoding attempts using artificial intelligence and machine learning
Satya Kumar Vankayala, Andhra Pradesh (IN); Venkateswarlu Yarramala, Andhra Pradesh (IN); and Seungil Yoon, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Aug. 26, 2022, as Appl. No. 17/896,659.
Application 17/896,659 is a continuation of application No. PCT/KR2021/004801, filed on Apr. 16, 2021.
Claims priority of application No. 202041016426 (IN), filed on Apr. 16, 2020; and application No. 202041016426 (IN), filed on Dec. 16, 2020.
Prior Publication US 2022/0417971 A1, Dec. 29, 2022
Int. Cl. H04W 72/1273 (2023.01); H04L 1/00 (2006.01); H04L 1/1812 (2023.01); H04W 72/23 (2023.01)
CPC H04W 72/1273 (2013.01) [H04L 1/0061 (2013.01); H04L 1/1812 (2013.01); H04W 72/23 (2023.01)] 15 Claims
OG exemplary drawing
 
10. A method of operating a base station (BS) in a wireless communication network for managing physical downlink control channel (PDCCH) data, the method comprising:
obtaining a plurality of network parameters;
predicting an aggregation level (AL) to be used for transmission of the PDCCH data to a user equipment (UE) in the wireless network based on the plurality of network parameters by at least:
providing the plurality of network parameters as an input to a trained machine learning (ML) model, and
obtaining the at least one predicted AL as output from the ML model;
encoding the PDCCH data based on the at least one predicted AL; and
transmitting the encoded PDCCH data to the UE.