Performance Analysis of NOMA Over OMA System for B5G Applications
The paper investigates the performance evaluation of Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) systems in Beyond 5G communication networks. It is noted that NOMA, which uses power domain signal multiplexing in the same frequency range, is a promising technique that is especially well-suited for applications such as energy-efficient IoT device connectivity, vehicle-to-vehicle (V2V) communication, and machine-to-machine (M2M) connectivity. A key performance indicator for communication systems, the Bit Error Rate (BER) offers information on the reliability and quality of data transmitted in wireless communication networks. Using Binary Phase Shift Keying (BPSK) and Quadrature Phase Shift Keying (QPSK) modulation methods, this study evaluates the bit error rate (BER) for both OMA and NOMA. A particular algorithm for power coefficient allocation in NOMA, known as Pascal's triangle (PTA) Power Allocation Algorithm, is presented. Using randomly assigned power levels, BER is calculated under various circumstances, such as near user (NU) and far user (FU). The BER performance of OMA and NOMA are compared with and without the PTA algorithm. A comparison of QPSK and BPSK modulation is also provided. The research findings indicate that NOMA outperforms OMA across many circumstances, highlighting its possible supremacy in future emerging communication technologies. This in-depth evaluation illustrates the significance of NOMA, particularly in instances where fulfilling the needs of a heterogeneous user base and optimizing spectrum use is critical.
Authors
- M. Harini (ORCID: https://orcid.org/0000-0001-9538-2440)
- C. Srikamu
- R. Jayabharathy (ORCID: https://orcid.org/0000-0003-4355-361X)
- E Venkateshwaran
- Bharath Balaji S
Institutions
- SASTRA University (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/gccit63234.2024.10862820
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00