Multi Kernel Polar Code using Nut cracker optimization based GAN for Successive Cancellation Decoder to attain low latency and high efficiency

Multi-Kernel Polar Code is a type of polar code that utilizes multiple kernels for information encoding and decoding. The selection and optimization of multiple kernels can be challenging. Previous research has demonstrated that existing deep learning models may achieve high decoding accuracy and sp...

Full description

Saved in:

Bibliographic Details
Published in:	Evolving systems Vol. 16; no. 3; p. 93
Main Authors:	Pushpa, B. Yamini, Panda, Sunita
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2025 Springer Nature B.V
Subjects:	Accuracy Algorithms Artificial Intelligence Binary phase shift keying Codes Coding Coding theory Complex Systems Complexity Decoding Efficiency Energy consumption Engineering Error correction & detection Generative adversarial networks Generative artificial intelligence Literature reviews Machine learning Methods Optimization Original Paper Random noise Wireless communications GEN AI Multi Kernel Polar Code Decoder Transmission matrix Encoder Successive cancellation
ISSN:	1868-6478, 1868-6486
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!