面向6G的沉浸式智能体通信架构与跨域资源协同

Architecture and Cross-Domain Resource Coordination Mechanisms for 6G-Oriented Immersive Agent Communications

  • 摘要: 随着6G研究持续推进,沉浸式通信被ITU-R M.2160明确列为 IMT-2030 的核心应用场景之一,同时3GPP在Rel-18/19中持续完善面向XR的协议机制,表明未来移动通信系统业务形态正由面向单一媒体传输逐步转向面向多实体协同交互。针对现有研究缺乏统一分析框架的问题,本文初步提出了一种端-边-云-网-智深度协同的系统架构,并构建了涵盖通信、计算、渲染与推理四类资源的跨域协同框架。此外,本文给出了沉浸式智能体通信的概念内涵与研究边界,并在此基础上将端、边、云、网、智架构与现有标准架构进行对比分析,讨论了多模态数据对齐、分离渲染任务划分与计算卸载,以及意图驱动的分布式智能体协同编排等关键机制。进一步地,本文初步建立了跨域资源联合优化的通用模型,提炼出任务感知评价、实时决策稳定性与内生安全等方面的开放性挑战。综上,沉浸式智能体通信的关键不是单一链路性能的局部提升,而是面向全业务流程的系统化组织以及跨域资源的深度融合。

     

    Abstract: As research on 6G continues to advance, immersive communication has been explicitly identified in ITU-R M.2160 as one of the core application scenarios for IMT-2030, while 3GPP has continued to refine XR-oriented protocol mechanisms in Releases 18 and 19, indicating that the service paradigm of future mobile communication systems is evolving from single-media transmission toward multi-entity collaborative interaction. To address the fragmentation of existing studies and the lack of a unified analytical framework, this paper proposes a deeply integrated end-edge-cloud-network-intelligence system architecture and develops a cross-domain collaborative framework encompassing four categories of resources: communication, computing, rendering, and inference. In addition, this paper presents the conceptual connotation and research scope of immersive agent communications and, on this basis, compares the end, edge, cloud, network, and intelligence architecture with existing standard architectures, with a particular focus on key mechanisms including multimodal data alignment, partitioning of decoupled rendering tasks and computation offloading, as well as intent-driven distributed orchestration of intelligent agents. Furthermore, this paper establishes a preliminary general model for cross-domain joint resource optimization and identifies open challenges in task-aware evaluation, real-time decision stability, and intrinsic security. In summary, the key to immersive agent communications lies not in the localized improvement of individual link performance, but in the systematic organization of the entire service workflow and the deep integration of cross-domain resources.

     

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