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September 10, 2025Cluster ComputingOpen Access

Maximizing energy efficiency through joint resource optimization in NOMA-assisted UAV-enabled next-generation wireless networks

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Authors

RURahat UllahMSMubashar SarfrazMSMuhammad Farhan Sohail

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Overview

Joint resource optimization improves energy efficiency while meeting quality of service standards in UAV networks.

Key Points

  • The proposed solution achieves a 23.07% higher energy efficiency compared to random pairing, indicating its effectiveness.
  • This study formulates a joint resource optimization problem, focusing on parameters like user pairing and UAV altitude.
  • Simulation results demonstrate the superiority of the heuristic solution over benchmark schemes in improving energy efficiency.
  • Addressing a nonlinear and NP-hard problem, this approach ensures quality of service constraints are met while optimizing performance.

Cite This Study

Ullah et al. (2025) studied this question.

synapsesocial.com/papers/68c1dd9254b1d3bfb60fbe0bhttps://doi.org/10.1007/s10586-025-05244-w
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