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Secrecy Rate Maximization with Artificial Noise for Pinching-Antenna Systems

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arxiv 2504.10656 v1 pith:EPD3QTXG submitted 2025-04-14 eess.SP

classification eess.SP
keywords securitysystemsartificialconventionalmimonoisepinching-antennarate
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Security is emerging as a critical performance metric for next-generation wireless networks, but conventional multiple-input-multiple-output (MIMO) systems often suffer from severe path loss and are vulnerable to nearby eavesdroppers due to their fixed-antenna configurations. Pinching-antenna systems (PAS) offer a promising alternative, leveraging reconfigurable pinching antennas (PAs) positioned along low-loss dielectric waveguides to enhance channel conditions and dynamically mitigate security threats. In this paper, we propose an artificial noise (AN)-based beamforming scheme for downlink transmissions in PAS, with the goal of maximizing the secrecy rate. A closed-form solution is derived for the single-waveguide scenario, while an alternating optimization approach addresses more complex multiple waveguide setups. Numerical results show that the proposed scheme significantly outperforms conventional MIMO and existing PAS security schemes.

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Cited by 5 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dual-Waveguide Pinching Antennas for PLS: Parallel Placement or Orthogonal Placement?

    eess.SP 2025-10 conditional novelty 5.0 of 10

    For dual-waveguide pinching-antenna systems, an FeaPSO/SCA algorithm maximizes secure rate and energy efficiency, and orthogonal waveguide placement offers a modest, scenario-dependent security advantage over parallel...

  2. Secure Pinching Antenna-aided ISAC

    cs.IT 2025-07 conditional novelty 5.0 of 10

    A pinching-antenna ISAC scheme that aligns antennas with users and targets, then optimizes beamforming and artificial noise, is claimed to outperform equidistant and fixed-array baselines by 3-30 dB in illumination power.

  3. Pinching-Antenna Systems for Physical Layer Security

    eess.SP 2025-07 conditional novelty 5.0 of 10

    A Shapley-value-based coalitional game algorithm selects pinching antennas to boost legitimate-user signal and suppress eavesdropper reception, improving simulated secrecy rates.

  4. Deep Learning Optimization of Two-State Pinching Antennas Systems

    cs.LG 2025-07 conditional novelty 5.0 of 10

    A graph neural network with distributed attention selects near-optimal subsets of active pinching antennas, matching a Gurobi solver's rates within a few percent and generalizing from 50 to 1000 antennas.

  5. Analytical Optimization for Antenna Placement in Pinching-Antenna Systems

    cs.IT 2025-07 conditional novelty 4.0 of 10

    For fairness-based OMA, the optimal pinching-antenna location is the mean of users' x-coordinates and does not depend on their distance from the waveguide; for NOMA it moves exponentially toward the user nearest the w...

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