MuMeNet: A Network Simulator for Musical Metaverse Communications

TL;DR

MuMeNet is a specialized network simulator designed to model and analyze the unique communication requirements of the Musical Metaverse in 5G/6G networks, enabling better service provisioning.

Contribution

The paper introduces MuMeNet, a novel discrete-event simulator tailored for the Musical Metaverse's network and service modeling needs, addressing a gap in existing tools.

Findings

MuMeNet effectively models MM session traffic dynamics.

Performance analysis demonstrates MuMeNet's utility for MM workload scenarios.

Linear programming orchestration shows promising results for service provisioning.

Abstract

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.