面向6G的原生事件沉浸式通信：从多模态流到事件信念

中文摘要 AI 辅助

多模态感知能力的发展对于实现沉浸式通信、支撑未来第六代（6G）通信中丰富自然的远程交互至关重要。然而，传输高维感知流给无线资源带来了巨大压力，且存在一个核心问题未得到解决：在无线传输过程中应保留底层物理过程的哪些信息？为解决该问题，本文建立了原生事件沉浸式通信框架，其中与服务相关的物理事件定义了通信对象，而事件信念则表示收发智能体在无线传输前后可获取的信息。基于该原生事件框架，本文进一步提出事件信念缺陷（EBD）以评估沉浸式通信的体验质量（QoE），其不同于传统的归一化均方误差（NMSE），因为NMSE对物理上不同但流失真处于相似范围的过程不敏感。针对瑞利衰落下具有模式可分传输的高斯事件信念，本文推导了对数行列式EBD、其诱导的接收信噪比（SNR）阈值、精确中断概率以及所需的发射SNR。基于物理驱动源的仿真结果表明，在物理上不同的事件过程中，流NMSE可保持几乎不变，而对数行列式EBD能可靠反映其事件级不确定性。相较于面向均方误差（MSE）的接口，在评估的中断约束下，原生事件传输可将归一化对数行列式EBD降低多达63.6%，并将所需的平均接收SNR降低3.47 dB，证实了所提框架的有效性。

英文摘要

The development of multimodal sensing capabilities is crucial for realizing immersive communications and enabling rich, natural remote interactions in future sixth-generation~(6G) communications. However, transmitting high-dimensional sensory streams places substantial pressure on wireless resources and leaves a fundamental question unresolved: what information about the underlying physical process should be preserved across wireless delivery? To address this issue, we establish an event-native immersive-communication framework in which a service-relevant physical event defines the communication object, while event beliefs represent the information available to transceiver agents before and after wireless delivery. Based on this event-native framework, we further propose event-belief deficiency (EBD) to evaluate quality of experience (QoE) in immersive communications, which differs from the conventional normalized mean-squared error (NMSE), as NMSE can be insensitive to physically distinct procedures whose stream distortions lie in a similar range. For Gaussian event beliefs with mode-separable delivery over Rayleigh fading, we derive the log-det EBD, its induced received signal-to-noise ratio (SNR) threshold, the exact outage probability, and the required transmit SNR. Simulation results with a physics-driven source show that stream NMSE can remain nearly unchanged across physically distinct event procedures, whereas log-det EBD reliably reflects their event-level uncertainty. Relative to a mean-squared-error (MSE)-oriented interface, event-native delivery reduces normalized log-det EBD by up to $63.6\%$ and lowers the required average received SNR by $3.47$~dB under the evaluated outage constraint, substantiating the effectiveness of the proposed framework.

发表机构

• Nanyang Technological University（南洋理工大学）
• Zhejiang University（浙江大学）

机构由 AI 辅助整理，请以论文原文为准。