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Method and apparatus for decoding packets to compute log-likelihood ratios in wireless network

A logarithmic likelihood ratio, wireless network technology, applied in the field of wireless networks, can solve problems such as reduced efficiency, high computational complexity, and complexity

Pending Publication Date: 2022-07-08
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Existing methods are extremely complex, and high computational complexity reduces efficiency

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  • Method and apparatus for decoding packets to compute log-likelihood ratios in wireless network
  • Method and apparatus for decoding packets to compute log-likelihood ratios in wireless network
  • Method and apparatus for decoding packets to compute log-likelihood ratios in wireless network

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Embodiment Construction

[0028] Embodiments herein and their various features and advantageous details are explained more fully with reference to the non-limiting embodiments illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as not to unnecessarily obscure the embodiments herein. Furthermore, the various embodiments described herein are not necessarily mutually exclusive, as some embodiments can be combined with one or more other embodiments to form new embodiments. Unless otherwise specified, the term "or" as used herein refers to a non-exclusive or. The examples used herein are merely to facilitate understanding of the manner in which the embodiments herein may be practiced and to further enable those skilled in the art to practice the embodiments herein. Accordingly, these examples should not be construed as limiting the scope of the embodiments herein.

[0029] In accordance with trad...

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Abstract

Embodiments herein provide a method of decoding user data by an apparatus (100) in a wireless network (1000). The method includes receiving, by an apparatus (100), user data associated with a plurality of network parameters. The method includes training, by the apparatus (100), a neural network (220) using the plurality of received network parameters. Further, the method includes calculating, by the apparatus (100), an LLR using the trained neural network (220). Further, the method includes decoding, by the apparatus (100), the received user data using the calculated LLR.

Description

technical field [0001] The present disclosure relates to wireless networks, and more particularly, to methods and apparatus for decoding packets in wireless networks to compute log-likelihood ratios (LLRs) for graphics processing unit (GPU) / non-GPU based architectures. Background technique [0002] In general, LLR calculations are an integral part of various wireless receivers. The LLR value is used as the input to the decoding module in the wireless receiver. However, computing the LLR optimally has exponential overhead. Therefore, several attempts have been made to simplify the process of LLR calculation. Existing methods are extremely complex, and high computational complexity reduces efficiency. [0003] Accordingly, it would be desirable to address the above-mentioned disadvantages or other deficiencies, or at least to provide a useful alternative. SUMMARY OF THE INVENTION [0004] technical problem [0005] The main purpose of the embodiments herein is to provid...

Claims

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Application Information

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IPC IPC(8): H04L1/00
CPCH04B7/0413H04L27/38H04L25/067H04L1/0045G06N3/08G06N3/048G06N3/044G06N3/045G06N3/04H04L1/0017H04L1/0026H04L1/005G06F18/214
Inventor S.K.凡卡雅拉尹承一I.科莫宁V.亚拉马拉
Owner SAMSUNG ELECTRONICS CO LTD
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