
Polar Code: An Advanced Encoding And Decoding Architecture For Next Generation 5G Applications
Author(s) -
Kaveri Maltiyar,
Deepti Malviya
Publication year - 2019
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v7i5.5307
Subject(s) - polar code , decoding methods , computer science , polar , encoding (memory) , code (set theory) , binary symmetric channel , list decoding , coding (social sciences) , theoretical computer science , algorithm , concatenated error correction code , channel code , block code , mathematics , physics , programming language , statistics , set (abstract data type) , astronomy , artificial intelligence
Polar Codes become a new channel coding, which will be common to apply for next-generation wireless communication systems. Polar codes, introduced by Arikan, achieves the capacity of symmetric channels with “low encoding and decoding complexity” for a large class of underlying channels. Recently, polar code has become the most favorable error correcting code in the viewpoint of information theory due to its property of channel achieving capacity. Polar code achieves the capacity of the class of symmetric binary memory less channels. In this paper review of polar code, an advanced encoding and decoding architecture for next generation applications.