IMPLEMENTATION AND PERFORMANCE EVALUATION OF NOMA TECHNIQUE VIA SIMULINK

Authors

  • Ammar Abdul-Hamed Khader Department of Missions and Cultural Relations, Ministry of Higher Education and Scientific Research, Iraq

DOI:

https://doi.org/10.30572/2018/KJE/160421

Keywords:

Bit error rate (BER), Capacity and outage probability, Dynamic power allocation (DPA), Fixed power allocation (FPA), Non-orthogonal multiple access (NOMA) and Orthogonal multiple access (OMA)

Abstract

Non-Orthogonal Multiple Access (NOMA) is proposed for huge growth of 5th generation communication systems and beyond. It has the ability to benefit various applications, including future cellular networks like; Internet of Things (IoT), machine-to-machine (M2M) and device-to-device (D2D) communication. It is particularly suitable for scenarios with a high data traffic and large number of connected devices, as it offers efficient spectrum utilization and improved connectivity. In general, any Simulink software provide the researchers with the ability to evaluate various performance metrics of the system. NOMA system was implemented in this work via Matlab in his both (m. file) and (Simulink Block), and many cases were studied and evaluated. Where 2-users and 3-users cases are applied for different values of; user’s distance from the base station, bandwidth, power allocation coefficients, modulation type and different noisy channels. The bit error rate (BER) versus two important parameters i.e. signal to noise ratio (SNR) and the transmitted power were measured and evaluated. Also fixed power allocation (FPA) and Dynamic power allocation (DPA) for the coefficients were implemented and tested for both cases; far and near user in DL–NOMA (down link). The enhancement value that achieved in outage probability for DPA over FPA is equal to 7.5 bps/Hz in far user case, while 6 bps/Hz is achieved in near user case

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Published

2025-11-01

How to Cite

Khader, Ammar Abdul-Hamed. “IMPLEMENTATION AND PERFORMANCE EVALUATION OF NOMA TECHNIQUE VIA SIMULINK”. Kufa Journal of Engineering, vol. 16, no. 4, Nov. 2025, pp. 374-88, https://doi.org/10.30572/2018/KJE/160421.

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