Joint Decoding Technique for Collision Resolution in Non-orthogonal Multiple Access Environment

Автор: Suprith P.G., Mohammed Riyaz Ahmed, Mithileysh Sathiyanarayanan

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 5 vol.16, 2024 года.

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Multiple access technologies have grown hand in hand from the first generation to the 5th Generation (5G) with both performance and quality improvement. Non-Orthogonal Multiple Access (NOMA) is the recent multiple access technology adopted in the 5G communication technology. Capacity requirements of wireless networks have grown to a large extent with the penetration of ultra-high-definition video transmission, Internet of Things (IoT), and virtual reality applications taking ground in the recent future. This paper develops the Physical Layer Network Coding (PNC) for collision resolution in a NOMA environment with two users. Traditionally NOMA uses Successive Interference Cancellation (SIC) for collision resolution. While additionally a decoding algorithm is added along with SIC to improve the performance of the collision resolution. MATLAB-based simulation is developed on the NOMA environment with two users using Viterbi coding, Low-Density Parity Check (LDPC), and Turbo coding. Performance parameters of Bit Error Rate (BER) and throughput are compared for these three algorithms. It is observed that the Turbo coding performed better among these three algorithms both in the BER and throughput. The BER obtained from the SIC- Turbo is found to be performing well with an increase of about 14% from the ordinary SIC implementation. The performance of the collision resolution has increased by 13% to 14% when joint decoding techniques are used and thus increasing the throughput of the NOMA paradigm.

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Non-Orthogonal Multiple Access, 5th Generation, Viterbi, Low-density Parity Check, Turbo Coding

Короткий адрес: https://sciup.org/15019478

IDR: 15019478 | DOI: 10.5815/ijcnis.2024.05.10

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