为音乐元宇宙设计专用网络模拟器，解决实时互动场景下的服务部署难题。
MuMeNet: A Network Simulator for Musical Metaverse Communications
- 构建音乐元宇宙的网络与服务图模型，聚焦虚拟演唱会互动场景。
- 提出MuMeNet模拟器，支持5G/6G下多类型交互流量的精准仿真。
- 适用于研究元宇宙直播、协同创作等高实时性场景的系统设计者。
元宇宙作为共享的时空数字连续体，正在重塑多个行业，音乐成为核心应用场景。实时演出、协作创作和互动体验推动音乐元宇宙（MM）发展，但底层网络与服务基础设施的需求制约其规模化。为此，本文首次针对5G/6G网络中的音乐元宇宙会话，提出服务供给的形式化建模与分析框架。以虚拟音乐会中的实时观众互动为参考场景，构建了服务与网络图模型。随后提出MuMeNet，一种专为音乐元宇宙设计的离散事件网络仿真器，能够捕捉其交互性、异构性和组播导向特性。通过在参考场景中运行基于线性规划的编排策略，展示了该仿真器在真实负载下的性能分析能力，验证了其有效性。
原文摘要 · Abstract (English)
The Metaverse, a shared and spatially organized digital continuum, is transforming various industries, with music emerging as a leading use case. Live concerts, collaborative composition, and interactive experiences are driving the Musical Metaverse (MM), but the requirements of the underlying network and service infrastructures hinder its growth. These challenges underscore the need for a novel modeling and simulation paradigm tailored to the unique characteristics of MM sessions, along with specialized service provisioning strategies capable of capturing their interactive, heterogeneous, and multicast-oriented nature. To this end, we make a first attempt to formally model and analyze the problem of service provisioning for MM sessions in 5G/6G networks. We first formalize service and network graph models for the MM, using "live audience interaction in a virtual concert" as a reference scenario. We then present MuMeNet, a novel discrete-event network simulator specifically tailored to the requirements and the traffic dynamics of the MM. We showcase the effectiveness of MuMeNet by running a linear programming based orchestration policy on the reference scenario and providing performance analysis under realistic MM workloads.
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