Robust and Secure Blockage-Aware Pinching Antenna-assisted Wireless Communication
Ruotong Zhao, Shaokang Hu, Deepak Mishra, Derrick Wing Kwan Ng

TL;DR
This paper proposes a robust, blockage-aware antenna system for secure wireless communication, optimizing beamforming, power allocation, and antenna positioning to enhance secrecy and system throughput.
Contribution
It introduces geometry-aware uncertainty sets and an efficient optimization algorithm for joint design of beamforming, power, and antenna placement in blockage-prone environments.
Findings
Proposed algorithm outperforms fixed-antenna systems by 4.7 dB in sum rate.
Adaptive PA positioning maintains LoS to users and disrupts eavesdroppers.
Neglecting blockage effects degrades performance and secrecy.
Abstract
In this work, we investigate a blockage-aware pinching antenna (PA) system designed for secure and robust wireless communication. The considered system comprises a base station equipped with multiple waveguides, each hosting multiple PAs, and serves multiple single-antenna legitimate users in the presence of multi-antenna eavesdroppers under imperfect channel state information (CSI). To safeguard confidential transmissions, artificial noise (AN) is deliberately injected to degrade the eavesdropping channels. Recognizing that conventional linear CSI error bounds become overly conservative for spatially distributed PA architectures, we develop new geometry aware uncertainty sets that jointly characterize eavesdropper position and array-orientation errors. Building upon these sets, we formulate a robust joint optimization problem that determines per waveguide beamforming and AN covariance,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Security Techniques · Advanced MIMO Systems Optimization · Cognitive Radio Networks and Spectrum Sensing
