US 12,015,479 B2
Method and apparatus to decode packets to compute log likelihood ratio in wireless network
Satya Kumar Vankayala, Bangalore (IN); Seungil Yoon, Suwon-si (KR); Issaac Kommineni, Bangalore (IN); and Venkateswarlu Yarramala, Bangalore (IN)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on May 18, 2022, as Appl. No. 17/747,485.
Application 17/747,485 is a continuation of application No. PCT/KR2020/016477, filed on Nov. 20, 2020.
Claims priority of application No. 201941047746 (IN), filed on Nov. 22, 2019; application No. 202041033240 (IN), filed on Aug. 3, 2020; and application No. 2019 41047746 (IN), filed on Nov. 17, 2020.
Prior Publication US 2022/0278769 A1, Sep. 1, 2022
Int. Cl. H04L 1/00 (2006.01); G06F 18/214 (2023.01); G06N 3/04 (2023.01)
CPC H04L 1/0026 (2013.01) [G06F 18/214 (2023.01); G06N 3/04 (2013.01); H04L 1/0017 (2013.01); H04L 1/005 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A method for decoding user data by an apparatus in a wireless network, comprising:
segregating, by the apparatus, in-phase data and quadrature data (IQ data) streams, based on quadrature amplitude modulation (QAM) scheme of each of the IQ data streams;
determining, by the apparatus, a channel condition associated with each of the QAM schemes of the segregated IQ data streams;
receiving, by the apparatus, user data associated with a plurality of network parameters, based on the segregated IQ data streams and the determined channel conditions;
training, by the apparatus, a neural network using the plurality of network parameters;
computing, by the apparatus, a log likelihood ratio (LLR) using the trained neural network;
transferring, by the apparatus, the computed LLR to a physical layer; and
decoding, by the apparatus, the received user data using the computed LLR.