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arXiv · 2505.07555

Energy-Efficient Resource Allocation for NOMA-Assisted Uplink Pinching-Antenna Systems

Ming Zeng·Xingwang Li·Ji Wang·Gaojian Huang·Octavia A. Dobre·Zhiguo Ding
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Abstract

The pinching-antenna architecture has emerged as a promising solution for reconfiguring wireless propagation environments and enhancing system performance. While prior research has primarily focused on sum-rate maximization or transmit power minimization of pinching-antenna systems, the critical aspect of energy efficiency (EE) has received limited attention. Given the increasing importance of EE in future wireless communication networks, this work investigates EE optimization in a non-orthogonal multiple access (NOMA)-assisted multi-user pinching-antenna uplink system. The problem entails the joint optimization of the users' transmit power and the pinching-antenna position. The resulting optimization problem is non-convex due to tightly coupled variables. To tackle this, we employ an alternating optimization framework to decompose the original problem into two subproblems: one focusing on power allocation and the other on antenna positioning. A low-complexity optimal solution is derived for the power allocation subproblem, while the pinching-antenna positioning subproblem is addressed using a particle swarm optimization algorithm to obtain a high-quality near-optimal solution. Simulation results demonstrate that the proposed scheme significantly outperforms both conventional-antenna configurations and orthogonal multiple access-based pinching-antenna systems in terms of EE.

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Ming Zeng, Xingwang Li, Ji Wang, Gaojian Huang, Octavia A. Dobre, Zhiguo Ding. 2025-05-12. Energy-Efficient Resource Allocation for NOMA-Assisted Uplink Pinching-Antenna Systems. https://arxiv.org/abs/2505.07555

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