ITEj (Information Technology Engineering Journals)
Vol 11 No 1 (2026): In Progress

Performance Evaluation of Modulation and Power Allocation Effects on BER in NOMA with SIC over AWGN Channels

Apriliani, Defina (Unknown)
Soim, Sopian (Unknown)
Sholihin, Sholihin (Unknown)



Article Info

Publish Date
07 Jan 2026

Abstract

This study evaluates the performance of a Non-Orthogonal Multiple Access (NOMA) system implementing Successive Interference Cancellation (SIC) over Additive White Gaussian Noise (AWGN) channels, focusing on the effects of modulation schemes and power allocation on Bit Error Rate (BER). Three modulation schemes BPSK, QPSK, and 16QAM are studied in combination with different power allocation configurations (e.g., α = 0.1, 0.3) for two users in an OFDM-based NOMA downlink scenario. The signal superposition process is performed at the transmitter side, while SIC is applied at the receiver side to separate the user signals. The simulation results show that the BER performance is greatly affected by the modulation level and power allocation ratio. Lower-order modulations (such as BPSK and QPSK) provide better performance at low SNR, especially for users with poorer channel quality. On the other hand, improper power distribution can cause error propagation in the SIC process, degrading the demodulation accuracy. This study emphasizes the importance of selecting adaptive modulation schemes and power allocation strategies in NOMA system design. These findings provide important contributions to the development of future wireless communication systems, especially 5G and later generations, which demand high spectral efficiency and multi-user service reliability.

Copyrights © 2026






Journal Info

Abbrev

itej

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics

Description

ITEj (Information Technology Engineering Journals) is an international standard, open access, and peer-reviewed journal to discuss new findings in software engineering and information technology. The journal publishes original research articles and case studies focused on e-learning and information ...