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In this paper, we present a power allocation model in UAV-assisted relay networks which is designed to maximize data rate without compromising with signal-to-noise ratio (SNR) and distance-power constraints and without crossing the total power budget. The proposed idea allocated power to each user’s sub-carrier by using an iterative water-filling algorithm with penalty adjustments. Our method uses distance-based penalties to ensure all the constraints are satisfied, especially the distance-power constraint.

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Penalty-Based Optimization for Power Allocation in UAV-Assisted Relay Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Kalpana Naidu,
  • Sachit Anand

摘要

In this paper, we present a power allocation model in UAV-assisted relay networks which is designed to maximize data rate without compromising with signal-to-noise ratio (SNR) and distance-power constraints and without crossing the total power budget. The proposed idea allocated power to each user’s sub-carrier by using an iterative water-filling algorithm with penalty adjustments. Our method uses distance-based penalties to ensure all the constraints are satisfied, especially the distance-power constraint.