Investigation on the BER Performance of Odd-Bit Cross M-QAM based SC-FDMA Systems in the Presence of AWGN and Phase Noise

Adaptive QAM is critical scheme that provides communication systems with the ability to adapt to the varying channel fluctuations and preserve an acceptable level of spectral efficiency. In order to further enhance the adaptive QAM performance, odd-bit cross QAM modulation schemes had long been suggested as a candidate to improve the adaptive QAM transmission efficiency of modern communication systems like SC-FDMA and OFDM systems. The superior performance of cross odd bit QAM in terms of bit error rate (BER) and peak to average power ratio (PAPR) compared to the rectangular odd-bit schemes had made it the best choice whenever an odd-bit modulation scheme implementation is intended. Though many researches and articles extensively studied and analyzed the performance of odd-bit QAM schemes for various communication systems, BER performance under the simultaneous presence of additive white Gaussian noise (AWGN) and phase noise (PhN) impairments for odd-bit cross QAM based communication systems caught almost no research interest. In this paper, the BER performance for SC-FDMA system with odd-bit cross QAM is investigated with the simultaneous presence of AWGN and phase noise for various modulation sizes. The results shows that cross odd-bit QAM schemes show better uncoded BER performance in lower modulation orders, while offering only marginal improvements at higher orders. For instance, at a phase noise standard deviation of 10°, 8-QAM achieved a substantial logarithmic BER gain of 8.7 dB over 16-QAM, whereas 128-QAM showed a modest gain of just 1.4 dB compared to 256-QAM.

Authors

Publication Details

Journal
Scientific Research Journal of Engineering and Computer Sciences
Published
2025-08-28
DOI
https://doi.org/10.47310/srjecs.2025.v05i02.006
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation on the BER Performance of Odd-Bit Cross M-QAM based SC-FDMA Systems in the Presence of AWGN and Phase Noise

Ahmed M. Sana
Scientific Research Journal of Engineering and Computer Sciences
PAPR reduction in OFDM
article

Investigation on the BER Performance of Odd-Bit Cross M-QAM based SC-FDMA Systems in the Presence of AWGN and Phase Noise

Ahmed M. Sana
article en

Abstract

Adaptive QAM is critical scheme that provides communication systems with the ability to adapt to the varying channel fluctuations and preserve an acceptable level of spectral efficiency. In order to further enhance the adaptive QAM performance, odd-bit cross QAM modulation schemes had long been suggested as a candidate to improve the adaptive QAM transmission efficiency of modern communication systems like SC-FDMA and OFDM systems. The superior performance of cross odd bit QAM in terms of bit error rate (BER) and peak to average power ratio (PAPR) compared to the rectangular odd-bit schemes had made it the best choice whenever an odd-bit modulation scheme implementation is intended. Though many researches and articles extensively studied and analyzed the performance of odd-bit QAM schemes for various communication systems, BER performance under the simultaneous presence of additive white Gaussian noise (AWGN) and phase noise (PhN) impairments for odd-bit cross QAM based communication systems caught almost no research interest. In this paper, the BER performance for SC-FDMA system with odd-bit cross QAM is investigated with the simultaneous presence of AWGN and phase noise for various modulation sizes. The results shows that cross odd-bit QAM schemes show better uncoded BER performance in lower modulation orders, while offering only marginal improvements at higher orders. For instance, at a phase noise standard deviation of 10°, 8-QAM achieved a substantial logarithmic BER gain of 8.7 dB over 16-QAM, whereas 128-QAM showed a modest gain of just 1.4 dB compared to 256-QAM.

Scientific Research Journal of Engineering and Computer SciencesVol. 05(02)
Openalex Percentile: Top 78%
PAPR reduction in OFDM
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.