Contents

Metaverse can be seen as a network problem, among many other things, since AR/VR applications need high throughput, high bandwidth demands with a high sensitivity to latency and dropped packets. There are already solutions dealing with these issues but there are also limitations. Client-pull technologies are more flexible, firewall-friendly, and scalable than server-push technologies. However, there is less control given its decentralized nature, which introduces new challenges for the transport network to offer a consistent and possibly higher quality of service. Therefore, a close cooperation between client applications and network would be desirable. The Edge Cloud is also becoming a promising technique since it benefits from the intensive computational resources in order to enable users to obtain a real-time immersive experience without equipping high end devices.

There are elaborate solutions for dealing with bandwidth limitations, network congestion, lossy transport protocols, and the ever-growing size of video data. Existing systems have mechanisms that use aggressively the available network resources and cause a decrease of the QoE and rebuffering events. Different technologies have been discussed in IETF recently dealing with media applications:

• AI for Network/DC
• Low Latency, Low Loss, Scalable Throughput (L4S)
• Computing-Aware Traffic Steering (CATS)
• Media Delivery Protocol over QUIC (MoQ)
• Deterministic Networking (DetNet)
• Application-aware Networking (APN)
• Information-centric networking (ICN)
• Computation in the Network (COIN)

The scope of this workshop is to discuss what are the requirements of Metaverse for the network and the enabling technologies among and beyond the different candidates reported above.

Submission Guide

Submitted papers must represent original material that is not currently under review in any other conference or journal and has not been previously published. Paper length should not exceed the 6-page standard IEEE conference two-column format (including all text, figures, and references). Please see the Author Information page for submission guidelines in the IEEE MetaCom 2024. All submitted papers will go through a peer review process. All accepted and presented papers will be included in the IEEE MetaCom 2024 proceedings. IEEE reserves the right to exclude an accepted and registered but not presented paper from the IEEE digital library. Please follow the submission link on https://metacom.cc (track MANP) to submit your paper.

Organization Chairs

Giuseppe Fioccola (Huawei)
giuseppe.fioccola@huawei.com

Shuping Peng (Huawei)
pengshuping@huawei.com

TPC Members

• Antonio Pescapè, University of Napoli Federico II
• Paulo Jorge Milheiro Mendes, Airbus
• Zhenyu Li, Institute of Computing Technology, Chinese Academy of Sciences
• Yong Cui, Tsinghua University
• Huawei Huang, Sun Yat-Sen University
• Jiang Liu, Beijing University of Posts and Telecommunications
• Haisheng Yu, Macau University of Science and Technology
• Tao Sun, China Mobile
• Stefano Ferretti, University of Urbino
• Luis Miguel Contreras Murillo, Telefonica
• Amedeo Sapio, AWS
• Fabrizio Granelli, University of Trento
• Alexander Clemm
• Pietro Cassarà, CNR
• Daniele Giusto, CNIT
• Alessandro Floris, University of Cagliari
• Simone Porcu, University of Cagliari
• Matteo Anedda, University of Cagliari
• Jeff Burke, UCLA
• Wenfei Wu, Peking University
• Di Ma, ZDNS