IEEE Transactions on Communications· 2025Q1
Modeling and Beamforming Optimization for Pinching-Antenna Systems
- 93citations
- Q1SCImago
- 2025year
Short summary
A new physics-based model for Pinching-Antenna Systems (PASS) enables transmit power reduction of over 95% compared to conventional and massive MIMO, with a low-complexity zero-forcing (ZF) beamforming algorithm performing comparably to a penalty-based method.
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Key points
- A physics-based model for PASS is developed using coupled-mode theory, representing the pinching antenna as a directional coupler.
- A transmit power minimization problem is formulated for joint optimization of transmit and pinching beamforming.
- A low-complexity zero-forcing (ZF)-based algorithm achieves performance comparable to a penalty-based alternating optimization algorithm.
- PASS technology reduces transmit power by over 95% compared to conventional and massive MIMO systems.
AI-generated from the title and abstract; the full text is not read.
Abstract
The Pinching-Antenna SyStem (PASS) is a revolutionary flexible antenna technology designed to enhance wireless communication by establishing strong line-of-sight (LoS) links, reducing free-space path loss and enabling antenna array reconfigurability. PASS uses dielectric waveguides with low propagation loss for signal transmission, radiating via a passive pinching antenna, which is a small dielectric element applied to the waveguide. This paper first proposes a physics-based hardware model for PASS, where the pinching antenna is modeled as an open-ended directional coupler, and the electromagnetic field behavior is analyzed using coupled-mode theory. A simplified signal model characterizes the coupling effect between multiple antennas on the same waveguide. Based on this, two power models are proposed: equal power and proportional power models. Additionally, a transmit power minimization problem is formulated/studied for the joint optimization of transmit and pinching beamforming under both continuous and discrete pinching antenna activations. Two algorithms are proposed to solve this multimodal optimization problem: the penalty-based alternating optimization algorithm and a low-complexity zero-forcing (ZF)-based algorithm. Numerical results show that 1) the ZF-based low-complexity algorithm performs similarly to the penalty-based algorithm, 2) PASS reduces transmit power by over 95% compared to conventional and massive MIMO, 3) discrete activation causes minimal performance loss but requires a dense antenna set to match continuous activation, and 4) the proportional power model yields performance comparable to the equal power model.
The authors' abstract, as published at the source. IEEE Transactions on Communications, 2025 · DOI ↗
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Field: Aerospace Engineering
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