AI与可变形天线协同，让无线网络更智能自适应。
Pinching Antennas Meet AI in Next-Generation Wireless Networks
- 用AI动态优化天线激活位置，提升连接效率。
- 天线支持边缘AI任务，如联邦学习与空中聚合。
- 适合研究智能无线网络与未来通信系统者阅读。
下一代（NG）无线网络需融入原生智能以支持扩展现实、自动驾驶等新兴应用，在超可靠低时延要求下运行。新型可变形天线（Pinching Antennas, PAs）是一种灵活低成本技术，可通过按需激活波导上的微小介电突起，动态建立视距链路。作为有力补充，人工智能（AI）可提供复杂环境下天线激活位置与资源分配的智能调控能力。本文探讨了AI与PAs的“双赢”协作：AI实现波导上PA激活位置的自适应优化，而PAs则赋能边缘AI任务，如联邦学习与过空气聚合。同时，文章展望了大语言模型驱动的PA控制框架，以及PA-AI融合在语义通信和感知-通信一体化中的潜力。该协同机制为构建自适应、鲁棒且自我优化的下一代网络开辟了新路径。
原文摘要 · Abstract (English)
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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