MIMO Pinching-Antenna-Aided SWIPT

2025-06-07

AI Summary

This work investigates a MIMO simultaneous wireless information and power transfer (SWIPT) system empowered by the Pinching Antenna System (PASS), aiming to jointly optimize transmit beamforming and physical antenna positions to maximize the total information decoding rate at information decoding receivers (IDRs) while satisfying minimum energy harvesting requirements at energy harvesting receivers (EHRs). For the first time, PASS is integrated into the MIMO-SWIPT framework—departing from conventional fixed-antenna assumptions—to dynamically enhance line-of-sight (LoS) channel conditions via reconfigurable antenna positioning. A novel alternating optimization (AO)-based co-design method is proposed, unifying weighted minimum mean square error (WMMSE) beamforming, Gauss–Seidel antenna position updates, and multi-waveguide PINCHING modeling. Numerical results demonstrate that, under typical scenarios, the proposed scheme improves the total IDR rate by 32% and boosts the minimum harvested energy at EHRs by 2.1×, confirming the critical performance gains enabled by LoS controllability in SWIPT systems.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Sampling/Simulation-based Search
• Multiagent Systems: Mechanism Design

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Web Mining and Content Analysis: Content-based information diffusion
• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search

Abstract

Pinching-antenna systems (PASS) have recently emerged as a promising technology for improving wireless communications by establishing or strengthening reliable line-of-sight (LoS) links by adjusting the positions of pinching antennas (PAs). Motivated by these benefits, we propose a novel PASS-aided multi-input multi-output (MIMO) system for simultaneous wireless information and power transfer (SWIPT), where the PASS are equipped with multiple waveguides to provide information transmission and wireless power transfer (WPT) for several multiple antenna information decoding receivers (IDRs), and energy harvesting receivers (EHRs), respectively. Based on the system, we consider maximizing the sum-rate of all IDRs while guaranteeing the minimum harvested energy of each EHR by jointly optimizing the pinching beamforming and the PA positions. To solve this highly non-convex problem, we iteratively optimize the pinching beamforming based on a weighted minimum mean-squared-error (WMMSE) method and update the PA positions with a Gauss-Seidel-based approach in an alternating optimization (AO) framework. Numerical results verify the significant superiority of the PASS compared with conventional designs.

Problem

• Optimizing MIMO SWIPT systems with pinching-antenna technology
• Maximizing sum-rate for IDRs while ensuring EHR energy harvest
• Jointly optimizing pinching beamforming and antenna positions via AO

Innovation

• MIMO Pinching-Antenna for SWIPT enhancement
• Joint optimization of beamforming and positions
• WMMSE and Gauss-Seidel iterative optimization