AI 中文总结
本文围绕识别编码展开，它扩展了香农通信范式。介绍其理论基础，双指数增长特性带来新通信架构。探讨基于该范式的新兴架构与应用领域，强调实际用例，还展示了相关系统概念、行业观点及实现示例。
AI 中文摘要
识别（ID）编码由阿尔斯韦德和杜克提出，通过用假设检验取代消息重建扩展了香农的经典通信范式。接收方不再解码传输的消息，而是判断是否发送了特定消息。ID理论的一个基本结果是可识别消息数量相对于码长呈双指数增长。这种缩放行为为大规模分布式系统带来全新通信架构，是后香农通信的关键组成部分。ID虽一般不能取代经典通信，但适用于无需完整消息重建的场景。本文综述ID编码理论基础，讨论基于此范式的新兴通信架构和应用领域，特别强调实际用例，还突出了近期系统概念、行业观点及实现示例。
英文摘要
Identification (ID) coding, introduced by Ahlswede and Dueck, extends Shannon's classical communication paradigm by replacing message reconstruction with hypothesis testing. Instead of decoding the transmitted message, the receiver only decides whether a particular message was sent. A fundamental result of ID theory is the double-exponential growth in the number of identifiable messages with respect to (w.r.t.) the blocklength. This scaling behavior enables fundamentally new communication architectures for large-scale distributed systems and forms a key building block of post-Shannon communication. While ID cannot replace classical communication in general, it is particularly well-suited for scenarios in which full message reconstruction is unnecessary, such as monitoring, alarming, and control systems. In this survey, we review the theoretical foundations of ID coding and discuss emerging communication architectures and application domains based on this paradigm. Particular emphasis is placed on practical use cases, including monitoring systems, special-purpose data storage, joint identification and sensing (JIDAS), semantic communications, mobile-network control systems and networked consensus testing systems. We further highlight recent system concepts, industrial perspectives, and implementation examples that illustrate how ID-based principles can be realized in practical communication systems.
