MuMeNet: A Network Simulator for Musical Metaverse Communications
For researchers and engineers designing network infrastructures for the Musical Metaverse, this work provides a first modeling and simulation tool, but it is an initial attempt with incremental novelty.
The paper models and simulates service provisioning for Musical Metaverse sessions in 5G/6G networks, introducing MuMeNet, a discrete-event network simulator. Results show effective orchestration under realistic workloads, though no specific performance numbers are provided.
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.