Channel Noise Optimization of Polar Codes Decoding Based on a Convolutional Neural Network
Polar code has the characteristics of simple coding and high reliability, and it has been used as the control channel coding scheme of 5G wireless communication. However, its decoding algorithm always encounters problems of large decoding delay and high iteration complexity when dealing with channel...
Enregistré dans:
Auteurs principaux: | Ming Yan, Xingrui Lou, Yan Wang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi-Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ff7d20c6db4b426ba98750e49f0b45b7 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Matching Pursuit Algorithm for Decoding of Binary LDPC Codes
par: Jianzhong Guo, et autres
Publié: (2021) -
Recognition for Human Gestures Based on Convolutional Neural Network Using the Off-the-Shelf Wi-Fi Routers
par: Haixia Yang, et autres
Publié: (2021) -
Secrecy rate optimization for SWIPT in two‐way relay networks with multiple untrusted relays and channel estimation errors
par: Dayong Yang, et autres
Publié: (2021) -
Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
par: Ahsan Bin Tufail, et autres
Publié: (2021) -
Automatic recognition of pulse repetition interval modulation using temporal convolutional network
par: Abolfazl Dadgarnia, et autres
Publié: (2021)