Pinching Antennas Meet AI in Next-Generation Wireless Networks

• URL: http://arxiv.org/abs/2511.07442v1
• Date: Wed, 12 Nov 2025 01:00:36 GMT
• Title: Pinching Antennas Meet AI in Next-Generation Wireless Networks
• Authors: Fang Fang, Zhiguo Ding, Victor C. M. Leung, Lajos Hanzo,
• Abstract summary: Next-generation (NG) wireless networks must embrace innate intelligence in support of emerging applications.<n>This article explores the "win-win" cooperation between AI and Pinching antennas (PAs)
• Score: 95.7524555556776
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Next-generation (NG) wireless networks must embrace innate intelligence in support of demanding emerging applications, such as extended reality and autonomous systems, under ultra-reliable and low-latency requirements. Pinching antennas (PAs), a new flexible low-cost technology, can create line-of-sight links by dynamically activating small dielectric pinches along a waveguide on demand. As a compelling complement, artificial intelligence (AI) offers the intelligence needed to manage the complex control of PA activation positions and resource allocation in these dynamic environments. This article explores the "win-win" cooperation between AI and PAs: AI facilitates the adaptive optimization of PA activation positions along the waveguide, while PAs support edge AI tasks such as federated learning and over-the-air aggregation. We also discuss promising research directions including large language model-driven PA control frameworks, and how PA-AI integration can advance semantic communications, and integrated sensing and communication. This synergy paves the way for adaptive, resilient, and self-optimizing NG networks.

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