Mohammed Hussein Ali

Work place: Electrical Engineering Department, Faculty of Engineering, Mustansiriyah University, Baghdad, Iraq

E-mail: eeph005@uomustansiriyah.edu.iq

Website:

Research Interests: Communications, Signal Processing, Wireless Networks, Network Architecture

Biography

Mohammed Hussein Ali is a lecturer at Al-Turath University College, Biomedical Engineering Department. He holds his B.Sc degree from the College of Engineering, University of Baghdad, in 2004, and obtained his M.Sc. degree in Electronics and Communication Engineering in 2010, and is currently a Ph.D. student in Communications Engineering at Al-Mustansiriya University. His areas of interest are cellular network communications, coding techniques, and signal processing for wireless communications.

Author Articles
Performance Analysis of 5G New Radio LDPC over Different Multipath Fading Channel Models

By Mohammed Hussein Ali Ghanim A. Al-Rubaye

DOI: https://doi.org/10.5815/ijcnis.2023.04.01, Pub. Date: 8 Aug. 2023

The creation and developing of a wireless network communication that is fast, secure, dependable, and cost-effective enough to suit the needs of the modern world is a difficult undertaking. Channel coding schemes must be chosen carefully to ensure timely and error-free data transfer in a noisy and fading channel. To ensure that the data received matches the data transmitted, channel coding is an essential part of the communication system's architecture. NR LDPC (New Radio Low Density Parity Check) code has been recommended for the fifth-generation (5G) to achieve the need for more internet traffic capacity in mobile communications and to provide both high coding gain and low energy consumption. This research presents NR-LDPC for data transmission over two different multipath fading channel models, such as Nakagami-m and Rayleigh in AWGN. The BER performance of the NR-LDPC code using two kinds of rate-compatible base graphs has been examined for the QAM-OFDM (Quadrature Amplitude Modulation-Orthogonal Frequency Division Multiplexing) system and compared to the uncoded QAM-OFDM system. The BER performance obtained via Monte Carlo simulation demonstrates that the LDPC works efficiently with two different kinds of channel models: those that do not fade and those that fade and achieves significant BER improvements with high coding gain. It makes sense to use LDPC codes in 5G because they are more efficient for long data transmissions, and the key to a good code is an effective decoding algorithm. The results demonstrated a coding gain improvement of up to 15 dB at 10-3 BER.

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