End-to-End BER for M-QAM-driven FD Relay Network under Nakagami-m Fading

This work investigates the performance of a full duplex (FD) relay network driven by quadrature amplitude modulation (M-QAM) under the realistic condition. We derive an analytical expression for the end-to-end bit error rate (BER), accounting for fading characteristics modeled by the Nakagami-m distribution. The accuracy of the derived expressions is validated through Monte Carlo (MC) simulations. Additionally, we analyze the impact of key parameters, such as transmit power and fading conditions, on the system’s performance using the derived expressions.

Authors

Institutions

Publication Details

Published
2024-10-04
DOI
https://doi.org/10.1109/mac61551.2024.10837094
Citations
1
Primary Topic
Full-Duplex Wireless Communications
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

End-to-End BER for M-QAM-driven FD Relay Network under Nakagami-m Fading

Sandeep Kumar Singh, Kamal Agrawal, Saurabh Kumar, Nitin Kumar Nishad
1 citations
Full-Duplex Wireless Communications
0.21
article

End-to-End BER for M-QAM-driven FD Relay Network under Nakagami-m Fading

Sandeep Kumar Singh, Kamal Agrawal, Saurabh Kumar, Nitin Kumar Nishad
article en
1 citations

Abstract

This work investigates the performance of a full duplex (FD) relay network driven by quadrature amplitude modulation (M-QAM) under the realistic condition. We derive an analytical expression for the end-to-end bit error rate (BER), accounting for fading characteristics modeled by the Nakagami-m distribution. The accuracy of the derived expressions is validated through Monte Carlo (MC) simulations. Additionally, we analyze the impact of key parameters, such as transmit power and fading conditions, on the system’s performance using the derived expressions.

Motilal Nehru National Institute of Technology (IN), Shiv Nadar University (IN)
Affordable and clean energy
Openalex Percentile: Top 44%
Full-Duplex Wireless Communications
0.21
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.