Metaverse Native Communication: A Blockchain and Spectrum Prospective

Xu, H. , Li, Z. , Li, Z., Zhang, X., Sun, Y. and Zhang, L. (2022) Metaverse Native Communication: A Blockchain and Spectrum Prospective. In: IEEE ICC 2022-Workshops, Seoul, South Korea, 16-20 May 2022, ISBN 9781665426725 (doi: 10.1109/ICCWorkshops53468.2022.9814538)

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Abstract

Metaverse depicts a vista of constructing a virtual environment parallel to the real world so people can communicate with others and objects through digital entities. In the real world, communication relies on identities and addresses that are recognized by authorities, no matter the link is established via post, email, mobile phone, or landline. Metaverse, however, is different from the real world, which requires a single identity belongs to the individual. This identity can be an encrypted virtual address in the metaverse but no one can trace or verify it. In order to achieve such addresses to hide individuals in the metaverse, re-mapping the virtual address to the individual's identity and a specific spectrum to support the address-based communication for the metaverse are needed. Therefore, metaverse native or meta-native communications based on blockchain could be a promising solution to directly connect entities with their native encrypted addresses that gets rid of the existing network services based on IP, cellular, HTTP, etc. This paper proposes a vision of blockchain, encrypted address and address-based access model for all users, devices, services, etc. to contribute to the meta-verse. Furthermore, the allocation architecture of a designated spectrum for the metaverse is proposed to remove the barrier to access to the metaverse/blockchain in response to the initiatives of metaverse and decentralized Internet.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Li, Zihao and Zhang, Mr Xiaoshuai and Zhang, Professor Lei and Li, Mr Zongyao and Sun, Dr Yao and Xu, Mr Hao
Authors: Xu, H., Li, Z., Li, Z., Zhang, X., Sun, Y., and Zhang, L.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Systems Power and Energy
College of Social Sciences > School of Law
ISSN:2164-7038
ISBN:9781665426725
Copyright Holders:Copyright © 2022 IEEE
First Published:First published in Proceedings of the 2022 IEEE International Conference on Communications Workshops (ICC Workshops)
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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