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Research Article

Performance improvement and analysis of NOMA in densely populated networks

ORCID Icon, ORCID Icon & ORCID Icon
Received 15 Nov 2021, Accepted 17 Sep 2023, Published online: 30 Oct 2023
 

ABSTRACT

Non-orthogonal multiple access technique (NOMA) is a potential and promising candidate for 5G and beyond 5G due to its better spectral efficiency and low latency. However, it faces implementation challenges in densely populated networks due to its computational complexity. In NOMA, for decoding Nth user information at the receiver end, it needs to perform N1 times perfect successive interference cancellation (SIC) operation. Hence, in a dense network, where the number of users is high, the implementation of NOMA becomes tedious. In order to improve the performance of NOMA implementation, in this work, the concept of cooperative modulated-NOMA (CM-NOMA) is applied in the considered densely populated networks model. Performance analysis of the system in terms of outage probability, symbol-to-error rate (SER) and achievable data rate in both one-to-one and cooperative communications scenarios are done. The analytical expressions are also validated using Monte Carlo simulation. The results show that the deployment of CM-NOMA in a densely populated network increases the performance of the system, and also reduces the computational complexity.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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