Performance Analysis of 5G New Radio LDPC over Different Multipath Fading Channel Models
Автор: Mohammed Hussein Ali, Ghanim A. Al-Rubaye
Журнал: International Journal of Computer Network and Information Security @ijcnis
Статья в выпуске: 4 vol.15, 2023 года.
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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.
QAM-OFDM, NR-LDPC, Nakagami-m Fading Channel, BER Performance, Rician Fading Channels, Turbo Codes (TCs), 3rd Generation Partnership 5G NR, Rayleigh Fading Channel, Line of Sight (LOS), AWGN
Короткий адрес: https://sciup.org/15018629
IDR: 15018629 | DOI: 10.5815/ijcnis.2023.04.01
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