Beamforming Design for Pinching Antenna Systems Enabled Cognitive Radio Systems

Fuente: arXiv
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Hauptverfasser: Li, Haochen, Zhong, Ruikang, Hu, Zhaoming, Zhang, Zheng, Hu, Yaoyue, Dong, Chao
Format: Preprint
Veröffentlicht: 2026
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author Li, Haochen
Zhong, Ruikang
Hu, Zhaoming
Zhang, Zheng
Hu, Yaoyue
Dong, Chao
author_facet Li, Haochen
Zhong, Ruikang
Hu, Zhaoming
Zhang, Zheng
Hu, Yaoyue
Dong, Chao
contents A pinching antenna system (PASS) assisted cognitive radio (CR) system is proposed. A secondary system sum rate maximization problem is formulated by jointly considering the base station (BS) power budget, the pinching antenna (PA) deployment constraints, and the interference tolerance requirements of primary users. To address the resulting non-convex problem, a tractable reformulation based on the weighted minimum mean-square error (WMMSE) approach is adopted, followed by the development of an alternating optimization (AO) algorithm. Within this framework, the auxiliary variables are updated in closed form, enabling an efficient transformation of the digital beamforming subproblem to a convex form, while the PA deployment is refined through a tailored element-wise optimization strategy. Numerical results validate the effectiveness of the proposed design and show consistent performance gains compared with conventional benchmark schemes.
format Preprint
id arxiv_https___arxiv_org_abs_2605_01943
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Beamforming Design for Pinching Antenna Systems Enabled Cognitive Radio Systems
Li, Haochen
Zhong, Ruikang
Hu, Zhaoming
Zhang, Zheng
Hu, Yaoyue
Dong, Chao
Signal Processing
A pinching antenna system (PASS) assisted cognitive radio (CR) system is proposed. A secondary system sum rate maximization problem is formulated by jointly considering the base station (BS) power budget, the pinching antenna (PA) deployment constraints, and the interference tolerance requirements of primary users. To address the resulting non-convex problem, a tractable reformulation based on the weighted minimum mean-square error (WMMSE) approach is adopted, followed by the development of an alternating optimization (AO) algorithm. Within this framework, the auxiliary variables are updated in closed form, enabling an efficient transformation of the digital beamforming subproblem to a convex form, while the PA deployment is refined through a tailored element-wise optimization strategy. Numerical results validate the effectiveness of the proposed design and show consistent performance gains compared with conventional benchmark schemes.
title Beamforming Design for Pinching Antenna Systems Enabled Cognitive Radio Systems
topic Signal Processing
url https://arxiv.org/abs/2605.01943