意图驱动的智简通信

摘要：随着通信迈入6G时代，传统依赖物理资源扩展的通信模式难以满足智能化、泛在化的发展需求。提出一种意图驱动的智简通信系统，融合认知心理学、信息论与人工智能方法，以语义token为基本单元，构建面向信息效用的通信范式。系统集成智能体的感知、认知与反馈能力，实现异构数据的上下文感知语义建模与压缩传输，重点突破语义编码、意图解析、鲁棒传输与可信解码等关键技术。该架构适配人—人感知、人—机控制与多机协同等差异化需求，支持在带宽受限与信道动态条件下的高效稳健传输。系统梳理了智简通信的研究脉络与核心机制，为构建高效、泛用、可持续的智能通信体系提供理论支撑与技术参考。

关键词：智简通信；意图驱动；高效压缩；稳健传输

Abstract: As communication evolves into the 6G era, traditional paradigms relying on physical resource expansion are increasingly struggling to meet the burgeoning demand for intelligent and ubiquitous connectivity.  An intent-driven intelligent and concise encoding and transmission system is proposed, which seamlessly integrates insights from cognitive psychology, information theory, and artificial intelligence. Using semantic tokens as the basic representation units, the system establishes a communication framework centered on information utility. It incorporates intelligent agents with perception, cognition, and feedback capabilities to achieve context-aware semantic modeling and compressed transmission of heterogeneous data. The system’s key enabling technologies comprehensively include semantic encoding, intent parsing, robust transmission, and reliable decoding. The proposed architecture supports differentiated communication needs, including high-fidelity human–human interaction, efficient human-machine control, and collaborative multi-agent systems. It is particularly effective and robust under bandwidth-limited and dynamically varying channel conditions. This study reviews the development trajectory and technical foundations of intelligent and concise communication, providing theoretical and practical guidance for building efficient, general-purpose, and sustainable communication systems.

Keywords: intelligent and concise communications; intent-driven; high-efficiency compression; robust transmission