Identification Codes and Post-Shannon Communication: Theory, Architectures, and Emerging Applications

2026-07-16

AI Summary

This work challenges the traditional Shannon communication paradigm, which prioritizes faithful message reconstruction, by reframing the communication objective as a hypothesis-testing problem—particularly relevant in monitoring, alerting, and control scenarios where only the detection of whether a specific message has been transmitted matters. Building upon identification (ID) coding theory, the study leverages the doubly exponential growth of identifiable messages with blocklength to establish a post-Shannon communication framework tailored for large-scale distributed systems. By integrating practical design considerations from dedicated storage, mobile network control, and monitoring systems, the framework extends ID coding into emerging domains such as semantic communication, joint sensing, and network consensus testing, thereby bridging the gap between theoretical foundations and real-world engineering applications.

Abstract

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.

Problem

• Identification Codes
• Post-Shannon Communication
• Hypothesis Testing
• Message Reconstruction
• Distributed Systems

Innovation

• Identification Coding
• Post-Shannon Communication
• Hypothesis Testing
• Double-Exponential Scaling
• Semantic Communications