Adaptive Power Allocation in Spaceborne Assisted NOMA Systems for Integrated Terrestrial Communications

TL;DR

This paper proposes an adaptive power allocation method for NOMA systems integrating spaceborne and terrestrial signals via RIS, improving capacity by dynamically adjusting power based on environmental conditions.

Contribution

It introduces a novel adaptive power allocation mechanism using Gaussian Mixture and Log-Normal models for RIS-enhanced NOMA systems, addressing atmospheric and urban shadowing effects.

Findings

20% increase in system capacity with adaptive power management

Effective mitigation of atmospheric attenuation and urban shadowing effects

Enhanced Signal-to-Interference-plus-Noise Ratio in diverse scenarios

Abstract

This study introduces an innovative approach for adaptive power allocation in Non-Orthogonal Multiple Access (NOMA) systems, enhanced by the integration of spaceborne and terrestrial signals through a Reconfigurable Intelligent Surface (RIS). We develop an adaptive mechanism to adjust the power distribution between spaceborne and terrestrial signals according to variations in environmental conditions and elevation angles. This mechanism employs a sophisticated transition model that combines Gaussian Mixture Models with Log-Normal distributions to adaptively counteract the detrimental impacts of atmospheric attenuation and urban shadowing. These adaptive power adjustments significantly enhance system capacity, particularly improving the Signal-to-Interference-plus-Noise Ratio under diverse operational scenarios. Simulation studies confirm the efficacy of our method within an RIS-enhanced framework, showing an approximate 20\% increase in system capacity through optimized power management between spaceborne and terrestrial signals.