Power Minimization for NOMA-assisted Pinching Antenna Systems With Multiple Waveguides

2025-03-26

AI Summary

This work addresses the total transmit power minimization problem for a dielectric waveguide-assisted clamped antenna system under NOMA in 6G communications. We formulate the first non-convex power optimization model and propose a standard interference function-based iterative algorithm, rigorously guaranteeing convergence to a unique fixed point. The method jointly incorporates NOMA signal superposition, successive interference cancellation (SIC) receiver design, and explicit modeling of waveguide spacing parameters. Key contributions are: (1) the first systematic characterization of the oscillatory decay relationship between waveguide spacing and minimum required transmit power; (2) rapid convergence within only a few iterations; and (3) significant performance gains over benchmark schemes across diverse user rate constraints. Numerical results validate the architecture’s superiority in energy efficiency and multi-user support capability.

Technology Category

• Search and Optimization: Non-convex Optimization
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Security and Privacy: Large-scale security measurements

Abstract

The integration of pinching antenna systems with non-orthogonal multiple access (NOMA) has emerged as a promising technique for future 6G applications. This paper is the first to investigate power minimization for NOMA-assisted pinching antenna systems utilizing multiple dielectric waveguides. We formulate a total power minimization problem constrained by each user's minimum data requirements, addressing a classical challenge. To efficiently solve the non-convex optimization problem, we propose an iterative algorithm. Furthermore, we demonstrate that the interference function of this algorithm is standard, ensuring convergence to a unique fixed point. Numerical simulations validate that our developed algorithm converges within a few steps and significantly outperforms benchmark strategies across various data rate requirements. The results also indicate that the minimum transmit power, as a function of the interval between the waveguides, exhibits an approximately oscillatory decay with a negative trend.

Problem

• Minimize power in NOMA-assisted pinching antenna systems
• Address interference in multiple dielectric waveguides
• Ensure convergence with iterative algorithm for optimization

Innovation

• NOMA-assisted pinching antenna with multiple waveguides
• Iterative algorithm for non-convex power minimization
• Standard interference function ensures convergence