AI 中文总结
研究随着人工智能发展无线通信原理的范式转变，提出令牌通信框架TokCom，将令牌提升为6G信息交换一等实体，经架构转变研究、案例验证，概述迈向适用于6G的原生人工智能、令牌驱动通信范式的未来研究方向。
AI 中文摘要
随着人工智能从静态感知发展到生成推理和自主智能体，无线通信的基本原理正在经历范式转变。以用户可靠的比特级重建为核心的经典香农范式，与网络主要用户为互联人工智能智能体的新兴场景越来越不匹配。本文介绍了令牌通信（TokCom），这是一个新颖的框架，它将令牌（即大语言模型的基本处理单元）提升为第六代无线蜂窝网络（6G）中信息交换的一等实体。我们首先研究从传统通信系统到TokCom的架构转变，识别实施此转变的关键挑战及潜在解决方案。之后，我们给出一个实际案例研究以证明异构语言模型间令牌共享的有效性。最后，我们概述了实现适用于6G的原生人工智能、令牌驱动通信范式的未来研究方向。
英文摘要
As artificial intelligence (AI) evolves from static perception to generative reasoning and autonomous agency, the fundamental principles of wireless communications are undergoing a paradigm shift. The classical Shannon paradigm, centered on reliable bit-level reconstruction for users, is increasingly misaligned with an emerging scenario in which the primary users of the network are interconnected AI agents. This article introduces token communications (TokCom), a novel framework that elevates tokens, i.e., the fundamental processing units of large language models (LLMs), to first-class entities for information exchange in the sixth generation wireless cellular networks (6G). We first examine the architectural transition from conventional communication systems to TokCom and identify the key challenges in implementing this transition, along with potential solution approaches. Thereafter, we present a practical case study to demonstrate the effectiveness of token sharing among heterogeneous language models. Finally, we outline promising future research directions toward realizing an AI-native, token-driven communication paradigm suitable for 6G.
Comments7 pages, 4 figures
