Evaluating Puncture and Non-puncture for the Turbo Code Model based the on AWGN Channel with 16-QAM

Abstract

In general, a 5G new radio network is defined by three primary utilization situations, namely upgraded versatile broadband, ultra-reliable, and low latency interchanges of information, as well as huge machine-type correspondences. These utilizations require improved throughput, inertness, dependability contrasted, and a 4G framework. As a coding plan for information, 5G Turbo codes attain high throughput, a variable code rate, and length, and crossover programmed rehash with good error-detecting capability. The execution boundaries of 5G advancements are normal and are tens and thousands of times better compared with 4G. In this paper, the evaluations of puncturing and non-puncturing for turbo code depending on the minimization of penetrating of efficient pieces are discussed. It also provides penetrating of equality pieces considering additive white Gaussian noise (AWGN) Channel with 16 quadrature amplitude modulation (QAM) to attain high spectral efficiency. In addition to this, the super encoder encodes the separated progression with a code speed of 1/3. The code block association progressively connects the yields from the super encoder. The sign mapper employed in this paper adjusts the progression using a 16-QAM balance. Also, the mapper takes effective pieces, one uniformity bit from the upper encoder, and the deinterleaved equity bit from the base encoder. The Orthogonal frequency-division multiplexing (OFDM) mapper parts into more modest equivalent channels, named subcarriers and the information is sent on these equivalent channels at a reduced rate.

KEYWORDS:

• 5G
• AWGN Channel
• Channel coding
• Iterative decoding algorithm
• Puncturing
• Non-Puncturing
• QAM
• Turbo code

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

R. Rashmi

Rashmi R currently working in the department of electronics and communication engineering at Vemana Institute of Technology, Bengaluru. She obtained her BE and MTech degrees in digital communication and networking. She has 10 years of experience in teaching and administration. Her area of research includes digital communication. She has published more than 7 papers both in National and International Journals. She is a member of professional bodies such as ISTE, IACSIT, IAENG, and IFERP. Corresponding author. E-mail: [email protected]

Manju Devi

Manju Devi is working in the department of ECE at The Oxford College of Engineering Bangalore. She has worked as vice-principal and professor at BTLIT, Bangalore. She obtained her BE (ECE) degree in 1996 from Anna University, her MTech degree in applied electronics from BMSCE, and a PhD from Visvesvaraya Technological University (VTU), Karnataka. She has almost twenty-four years of academic teaching experience and worked for both NBA and NAAC. She has almost 75 publications in international conferences and journals. She is guiding eight students from Visvesvaraya Technological University (VTU), Karnataka. Her areas of interest are VLSI design, Analog and Mixed-mode VLSI design, and Digital Electronics. E-mail: [email protected]