Channel Coding Scheme for 5G Mobile Communication System for Short Length Message Transmission

Some channel coding schemes for 5G mobile communication system is facing difficulty in satisfying the user requirements in machine-type communication. This paper evaluates different channel coding schemes (LDPC, turbo, polar, systematic convolutional, and non-systematic convolutional codes) on an AW...

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Bibliographic Details
Published in:Wireless personal communications Vol. 106; no. 2; pp. 377 - 400
Main Authors: Hajiyat, Zahraa Raad Mayoof, Sali, Aduwati, Mokhtar, Makhfudzah, Hashim, Fazirulhisyam
Format: Journal Article
Language:English
Published: New York Springer US 01.05.2019
Springer Nature B.V
Subjects:
5G mobile communication
Codes
Coding
Communications Engineering
Communications systems
Complexity
Computation
Computer Communication Networks
Decoding
Digital signal processors
Engineering
Flexibility
Mobile communication systems
Networks
Reliability analysis
Signal,Image and Speech Processing
Time Division Multiple Access
User requirements
Convolutional
Machine-type communication
Channel coding scheme
Polar
LDPC
Turbo
5G short length message
ISSN:0929-6212, 1572-834X
Online Access:Get full text
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Summary:Some channel coding schemes for 5G mobile communication system is facing difficulty in satisfying the user requirements in machine-type communication. This paper evaluates different channel coding schemes (LDPC, turbo, polar, systematic convolutional, and non-systematic convolutional codes) on an AWGN channel with BPSK modulation of code rate 1/2, in order to suggest the optimum channel coding scheme for the 5G mobile communication system for short length message transmission in machine-type communication. The analysis of the different channel coding schemes is based on flexibility, complexity, latency, and reliability according to the user requirements in machine-type communication. The main user requirements of machine-type communication for 5G channel coding scheme are better flexibility, low complexity, low latency, and high reliability in communication. Hence, the evaluation of different channel coding schemes is mainly based on satisfying user requirements in machine-type communication. The evaluation of the results shows that the systematic convolutional code is the optimum channel coding scheme in terms of better flexibility, low encoding computational latency, and higher reliability for the 5G mobile communication system for short length message transmission ( k ≤ 1024 bits) in machine-type communication. Whereas, the polar code has the lowest decoding computational complexity.
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ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06167-7