Abstract
In this paper, a novel geometric progression (GP)-based approach for dynamic power allocation (PA) in a single-carrier multi-user power-domain non-orthogonal multiple access (PD-NOMA) network is proposed. The mathematical analysis of the proposed model furnishes the PA coefficients that satisfy the basic PA as well as successive interference cancellation (SIC) constraints. The model requires a minimum signal-to-noise power ratio (SNR) that depends only on the channel conditions of the strongest-user. With this SNR, the model ensures each of the cluster users experiences at least a constant, desired minimum target throughput. Further, the PA coefficients obtained with the proposed GP-based fair power allocation (FPA) algorithm are analyzed for a multi-user scenario of four, five, and six users, respectively. A comparative analysis of performance metrics, such as the obtained sum-rate, user fairness index, complexity, coefficient’s nature, and the throughput is carried out, that verifies the efficacy of the proposed model. The simulations reveal a fairness index up to unity along with error-free SIC. For a six-user case with a GP ratio of 10, the minimum target throughput unity, and operational SNR 3927.63 (35.94 dB), the proposed algorithm provides a network sum-rate of 16.76 bps and a high fairness index of 91.64%. Furthermore, the geometric progression-based fair power allocation (GPFPA) algorithm provides a trade-off between the sum-rate and fairness index and can be tuned for higher network throughput or higher fairness index. Hence, the proposed model justifies its appropriateness for the sixth-generation (6G) massive connection density and ultra-reliability scenarios.
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Acknowledgements
We thank Dr. Prashant Pranav, Assistant Professor, Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Jharkhand, India, for his support and cooperation. We also thank the Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, Jharkhand, India, for providing useful resources for the work.
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Srivastava, S., Dash, P.P. GP-based fair power allocation for 6G multi-user power domain NOMA network. J Ambient Intell Human Comput 15, 479–490 (2024). https://doi.org/10.1007/s12652-022-03905-x
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DOI: https://doi.org/10.1007/s12652-022-03905-x