TY - GEN
T1 - Advanced Learning Schemes for Metaverse Applications in B5G/6G Networks
AU - Hashima, Sherief
AU - Fouda, Mostafa M.
AU - Hatano, Kohei
AU - Takimoto, Eiji
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The metaverse, a virtual world where various users can jointly/independently interact with digital objects seamlessly, is expected to be a key application area in beyond fifth generation (B5G)/ six-generation (6G) networks. However, the metaverse design poses several challenges, such as efficient usage of limited resources and the provision of high-quality user experiences. In this paper, we recommend advanced machine learning techniques such as multi-armed bandits (MABs), federated learning (FL), meta-learning, etc., to address these challenges. We illustrate the evaluability of these techniques with two specific use cases: resource allocation for virtual reality (VR) applications and personalized content delivery in the metaverse.
AB - The metaverse, a virtual world where various users can jointly/independently interact with digital objects seamlessly, is expected to be a key application area in beyond fifth generation (B5G)/ six-generation (6G) networks. However, the metaverse design poses several challenges, such as efficient usage of limited resources and the provision of high-quality user experiences. In this paper, we recommend advanced machine learning techniques such as multi-armed bandits (MABs), federated learning (FL), meta-learning, etc., to address these challenges. We illustrate the evaluability of these techniques with two specific use cases: resource allocation for virtual reality (VR) applications and personalized content delivery in the metaverse.
UR - http://www.scopus.com/inward/record.url?scp=85174608476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174608476&partnerID=8YFLogxK
U2 - 10.1109/MetaCom57706.2023.00150
DO - 10.1109/MetaCom57706.2023.00150
M3 - Conference contribution
AN - SCOPUS:85174608476
T3 - Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
SP - 799
EP - 804
BT - Proceedings - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023
Y2 - 26 June 2023 through 28 June 2023
ER -