Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems

TL;DR

This paper introduces an optimization method for uplink multi-user pinching-antenna systems, enhancing data rate fairness and system robustness in next-generation wireless networks.

Contribution

It presents a novel joint optimization approach for antenna positioning and resource allocation in PA systems, with convex reformulation and closed-form solutions.

Findings

Proposed algorithm outperforms existing methods in simulations.

Enhanced fairness and data rates in uplink PA systems.

Demonstrated potential for next-generation wireless networks.

Abstract

This paper addresses, for the first time, the uplink performance optimization of multi-user pinching-antenna (PA) systems, recently developed for next-generation wireless networks. By leveraging the unique capabilities of PAs to dynamically configure wireless channels, we focus on maximizing the minimum achievable data rate between devices to achieve a balanced trade-off between throughput and fairness. An effective approach is proposed that separately optimizes the positions of the PAs and the resource allocation. The antenna positioning problem is reformulated into a convex one, while a closed-form solution is provided for the resource allocation. Simulation results demonstrate the superior performance of the investigated system using the proposed algorithm over corresponding counterparts, emphasizing the significant potential of PA systems for robust and efficient uplink communication in next-generation wireless networks.