公共随机性：可信6G通信系统的关键使能技术
Common Randomness: A Key Enabler of Trustworthy 6G Communication Systems
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中文总结 AI 辅助
本文综述公共随机性（CR）在提升6G系统可扩展性、安全性和韧性中的作用，介绍双源模型与容量结果，并探讨高斯信道安全识别应用及开放研究问题。
中文摘要 AI 辅助
公共随机性（CR）是增强6G通信系统可信度的宝贵资源。本文重点阐述CR在提升分布式6G架构的可扩展性、安全性和韧性方面的作用。文章概述了用于CR生成的信息论双源模型，总结了已知的容量结果及其在不同通信设置（包括单向、双向、辅助协助和交互场景）下对实际系统的影响。此外，文章探讨了CR辅助的高斯信道安全识别作为一项应用，并强调了下一代无线系统中CR生成领域若干开放的研究问题。本文面向对将信息论工具与新兴6G通信系统相结合感兴趣的研究人员和从业者。
英文摘要
Common randomness (CR) is a valuable resource for enhancing the trustworthiness of 6G communication systems. This article highlights the role of CR in improving scalability, security, and resilience in distributed 6G architectures. It provides an overview of information-theoretic two-source models for CR generation and summarizes known capacity results, together with their implications for practical systems under different communication settings, including one-way, two-way, helper-assisted, and interactive scenarios. Furthermore, the article explores CR-assisted secure identification over Gaussian channels as an application and highlights selected open research problems in CR generation for next-generation wireless systems. The article targets researchers and practitioners interested in bridging information-theoretic tools with emerging 6G communication systems.
发表机构
- Technical University of Munich（慕尼黑工业大学）
- Technische Universität Braunschweig（布伦瑞克工业大学）
机构由 AI 辅助整理，请以论文原文为准。
