BIT ERROR RATE ANALYSIS OF GFDM BASED WIRELESS COMMUNICATION SYSTEM AND SPECTRAL EFFICIENCY IMPROVEMENT USING AMC TECHNIQUE

The ever-increasing demand for wireless communication, high data rate is driving researchers to explore advance fields that can maintain high data rates under variable channel conditions, ultimately enhancing the performance of communication systems. The integration of 5G techniques like GFDM, FBMC, UFMC etc. with adaptive modulation and coding (AMC) is a promising technique for maximizing data rates under diverse channel conditions in wireless communication systems. In previous research, AMC have reported for OFDM with Convolutional code, Polar Code etc. This paper analyses the performance of generalized frequency division multiplexing (GFDM) in combination with AMC technique for fluctuating channel conditions. In this paper, the system employs a dynamic channel coding strategy, which intelligently switches between turbo codes, convolutional codes or without coding. This adaptation enables robust performance and high spectral efficiency across a broad range of channel conditions. Through simulations, we derive a mapping between different modulations, channel coding scheme and SNR conditions. The results demonstrate a substantial improvement in BER performance and spectral efficiency across a wide range of SNR values.

Authors

Publication Details

Journal
International Journal of Apllied Mathematics
Published
2025-10-15
DOI
https://doi.org/10.12732/ijam.v38i6s.414
Primary Topic
Wireless Communication Networks Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BIT ERROR RATE ANALYSIS OF GFDM BASED WIRELESS COMMUNICATION SYSTEM AND SPECTRAL EFFICIENCY IMPROVEMENT USING AMC TECHNIQUE

Irfan Khan
International Journal of Apllied Mathematics
Wireless Communication Networks Research
article

BIT ERROR RATE ANALYSIS OF GFDM BASED WIRELESS COMMUNICATION SYSTEM AND SPECTRAL EFFICIENCY IMPROVEMENT USING AMC TECHNIQUE

Irfan Khan
article en

Abstract

The ever-increasing demand for wireless communication, high data rate is driving researchers to explore advance fields that can maintain high data rates under variable channel conditions, ultimately enhancing the performance of communication systems. The integration of 5G techniques like GFDM, FBMC, UFMC etc. with adaptive modulation and coding (AMC) is a promising technique for maximizing data rates under diverse channel conditions in wireless communication systems. In previous research, AMC have reported for OFDM with Convolutional code, Polar Code etc. This paper analyses the performance of generalized frequency division multiplexing (GFDM) in combination with AMC technique for fluctuating channel conditions. In this paper, the system employs a dynamic channel coding strategy, which intelligently switches between turbo codes, convolutional codes or without coding. This adaptation enables robust performance and high spectral efficiency across a broad range of channel conditions. Through simulations, we derive a mapping between different modulations, channel coding scheme and SNR conditions. The results demonstrate a substantial improvement in BER performance and spectral efficiency across a wide range of SNR values.

International Journal of Apllied MathematicsVol. 38(6s)
Openalex Percentile: Top 66%
Wireless Communication Networks Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

BIT ERROR RATE ANALYSIS OF GFDM BASED WIRELESS COMMUNICATION SYSTEM AND SPECTRAL EFFICIENCY IMPROVEMENT USING AMC TECHNIQUE — Irfan Khan · International Journal of Apllied Mathematics (2025) | TGRS Research Map | TGRS