Study on Localized Mobile Metaverse Services
The present document investigates specific use cases and service requirements for 5GS support of enhanced XR-based services, (as XR-based services are an essential part of "Metaverse" services considered in this study,) as well as potentially other functionality, to offer shared and interactive user experience of local content and services, accessed either by users in the proximity or remotely. In particular, the following areas are studied:
- Support of interactive XR media shared among multiple users in a single location, including:
- performance (KPI) aspects; e.g. latency, throughput, connection density
- efficiency and scalability aspects, for large numbers of users in a single location.
- the combination of haptics type of XR media and other non-haptics types of XR media.
- Identification of users and other digital representations of entities interacting within the Metaverse service.
- Acquisition, use and exposure of local (physical and digital) information to enable Metaverse services, including:
- acquiring local spatial/environmental information and user/UE(s) information (including viewing angle, position and direction);
- exposing local acquired spatial, environmental and user/UE information to 3rd parties to enable Metaverse services.
- Other aspects, such as privacy, charging, public safety and security requirements.
The study also investigates gaps between the identified new potential requirements and the requirements already specified for the 5G system.
It is acknowledged that there are activities related to the topic Metaverse outside of 3GPP, such as the W3C Open Metaverse Interoperability Group (OMI). These activities may be considered in the form of use cases and related contributions to this study, but there is no specific objective for this study to consider or align with external standardization activities.
A difference between this study and TR 22.847 " Study on supporting tactile and multi-modality communication services" is that Metaverse services would involve coordination of input data from different devices/sensors from different users and coordination of output data to different devices at different destinations to support the same task or application.