当人工智能遇见太赫兹：人工智能与太赫兹网络的共生综述
A Survey on the Symbiosis of Artificial Intelligence and Terahertz Networks
AI总结：
本文综述了人工智能与太赫兹网络的共生关系，探讨了AI在太赫兹通信网络中的应用及太赫兹网络对AI的支持作用，强调两者相互促进的发展模式。
摘要：
太赫兹（THz）频段（0.1-10 THz）已成为未来通信系统的关键前沿，提供超宽带宽以实现每秒太比特（Tbps）的无线链路和高精度传感和成像。然而，实际部署THz系统受独特挑战，包括复杂的信道特性、高维和大规模优化问题以及高度动态的网络环境。人工智能（AI）作为一种变革性赋能者，能够解决这些挑战，提供精确建模、先进信号处理、复杂优化、实时决策和预测等能力。反之，太赫兹网络的超宽带和高分辨率传感能力为AI提供了有前景的物理基础设施，促进训练、推理和数据收集。本文系统全面地概述了AI驱动的解决方案在整个THz通信网络中的应用以及AI与THz网络的共生关系。首先，介绍了适用于无线通信的AI技术基础。随后，研究了基于AI的创新，涵盖从硬件设计、信道建模、物理层优化，到高层网络协议和先进THz服务，包括移动边缘计算和传感赋能应用。同时，探讨了THz网络为AI提供的能力，强调向相互共生的范式转变，其中AI和THz相互促进和赋能。最后，通过综合这些最新进展并识别开放研究方向，本文突显了AI在与THz通信系统发展协同中的潜力。
英文摘要：
The Terahertz (THz) band (0.1-10 THz) has emerged as a critical frontier for future communication systems, offering ultra-wide bandwidths that enable Terabits-per-second (Tbps) wireless links and high-precision sensing and imaging. However, practical deployment of THz systems is hindered by unique challenges, including intricate channel characteristics, high-dimensional and large-scale optimization problems, and highly dynamic network environments. Artificial Intelligence (AI) serves as a transformative enabler to address these challenges, providing robust capabilities for precise modeling, advanced signal processing, complex optimization, real-time decision-making, and prediction, among others. Reciprocally, the unprecedented bandwidth and high-resolution sensing capabilities of THz networks provide a promising physical infrastructure for AI, facilitating training, inference, and data collection. This survey presents a systematic and comprehensive overview of AI-driven solutions across the entire THz communication network and the symbiosis of AI and THz networks. To begin with, a foundational overview of AI technologies tailored for wireless communications is presented. Subsequently, AI-based innovations are investigated, spanning from hardware design, channel modeling, physical layer optimization, up to higher-layer network protocols and advanced THz services, including mobile edge computing and sensing-empowered applications. In parallel, the capacity of THz networks to serve AI is examined, underscoring a profound paradigm shift towards a mutual symbiosis where AI and THz co-evolve and empower each other. Finally, by synthesizing these state-of-the-art advancements and identifying open research directions, this survey highlights the potential of AI in copilot with development of THz communication systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
