Flexible-Antenna Systems: A Pinching-Antenna Perspective
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Abstract (arXiv)
Flexible-antenna systems have recently received significant research interest due to their capability to reconfigure wireless channels intelligently. This paper focuses on a new type of flexible-antenna technology, termed pinching antennas, which can be realized by applying small dielectric particles on a waveguide. Analytical results are first developed for the simple case with a single pinching antenna and a single waveguide, where the unique feature of the pinching-antenna system to create strong line-of-sight links and mitigate large-scale path loss is demonstrated. An advantageous feature of pinching-antenna systems is that multiple pinching antennas can be activated on a single waveguide at no extra cost; however, they must be fed with the same signal. This feature motivates the application of non-orthogonal multiple access (NOMA), and analytical results are provided to demonstrate the superior performance of NOMA-assisted pinching-antenna systems. Finally, the case with multiple pinching antennas and multiple waveguides is studied, which resembles a classical multiple-input single-input (MISO) interference channel. By exploiting the capability of pinching antennas to reconfigure the wireless channel, it is revealed that a performance upper bound on the interference channel becomes achievable, where the achievability conditions are also identified. Computer simulation results are presented to verify the developed analytical results and demonstrate the superior performance of pinching-antenna systems.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Dec 2024.
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Citing papers per year: 2025: 6; 2026: 2.
8 papers.
- 2025Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based?cited by 1
- 2025Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Networkcited by 1
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approachescited by 1
- 2026Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systemscited by 1
- 2025Two-Timescale Joint Transmit and Pinching Beamforming for Pinching-Antenna Systemscited by 0
- 2025Deep Learning Optimization of Two-State Pinching Antennas Systemscited by 0
- 2025Pinching Antennas Meet AI in Next-Generation Wireless Networkscited by 0
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approachcited by 0
- 2026Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach2 May 2026
- 2026Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems15 Feb 2026
- 2025RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches25 Nov 2025
- 2025Pinching Antennas Meet AI in Next-Generation Wireless Networks3 Nov 2025
- 2025Straggler-Resilient Federated Learning over A Hybrid Conventional and Pinching Antenna Network17 Aug 2025
- 2025Deep Learning Optimization of Two-State Pinching Antennas Systems8 Jul 2025
- 2025Two-Timescale Joint Transmit and Pinching Beamforming for Pinching-Antenna Systems13 Apr 2025
- 2025Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based?12 Feb 2025