Multiuser Beamforming for Pinching-Antenna Systems: An Element-wise Optimization Framework
Mingjun Sun, Chongjun Ouyang, Shaochuan Wu, and Yuanwei Liu

TL;DR
This paper introduces a low-complexity element-wise optimization framework for joint baseband and pinching beamforming in PASS, significantly improving sum-rate performance in wireless channels compared to traditional fixed-antenna systems.
Contribution
It proposes a novel element-wise sequential optimization method for joint beamforming and antenna pinching, reducing complexity and enhancing sum-rate in PASS-enabled wireless systems.
Findings
PASS outperforms fixed-antenna systems in sum-rate.
ZF beamforming approaches MMSE performance and outperforms MRT/MRC.
The method reduces computational complexity by avoiding alternating updates.
Abstract
The pinching-antenna system (PASS) reconstructs wireless channels through pinching beamforming, i.e., optimizing the activated locations of pinching antennas (PAs) along the waveguide. The aim of this article is to investigate the joint design of baseband beamforming and pinching beamforming. A low-complexity element-wise sequential optimization framework is proposed to address the sum-rate maximization problem in PASS-enabled downlink and uplink channels. i) For the downlink scenario, maximum ratio transmission (MRT), zero-forcing (ZF), and minimum mean square error (MMSE) beamforming schemes are employed as baseband beamformers. For each beamformer, a closed-form expression for the downlink sum-rate is derived as a single-variable function with respect to the pinching beamformer. Based on this, a sequential optimization method is proposed, where the positions of the PAs are updated…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Direction-of-Arrival Estimation Techniques · Speech and Audio Processing
