An Overview of 3GPP Standardization for Extended Reality (XR) in 5G and Beyond

Author:

Luo Qinpei1,Zhang Hongliang1,Xu Minrui2,Di Boya1,Chen Anthony3,Mao Shiwen3,Niyato Dusit2,Han Zhu4

Affiliation:

1. Peking University, Beijing, China

2. Nanyang Technological University, Singapore

3. Auburn University, Auburn, AL, USA

4. University of Houston, Houston, TX, USA

Abstract

In recent years, aiming to enhance and extend user experiences beyond the real world, Extended Reality (XR) has emerged to become a new paradigm that enables a plethora of applications [1], e.g., online gaming, online conferencing, social media, etc. XR refers to the human-machine interactions that combine real and virtual environments with the support of computing/communications technologies and wearable devices. The XR content is generated by providers or other users, including audio, video and other metadata. In general, the generated XR content is transmitted to XR devices and rendered into XR scenes (i.e., to generate an image from a 2D or 3D model by means of a computer program), where users can experience a hybrid experience of the real and virtual worlds.

Publisher

Association for Computing Machinery (ACM)

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Reference20 articles.

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3. M. Speicher , B.D. Hall , and M. Nebeling . May 2019. What Is Mixed Reality? , in Proc. CHI , New York, NY, No. 537, 1--15. M. Speicher, B.D. Hall, and M. Nebeling. May 2019. What Is Mixed Reality?, in Proc. CHI, New York, NY, No. 537, 1--15.

4. M. Xu D. Niyato J. Chen H. Zhang J. Kang Z. Xiong S. Mao and Z. Han. Generative AI-empowered simulation for autonomous driving in vehicular mixed reality metaverses arXiv preprint arXiv:2302.08418. M. Xu D. Niyato J. Chen H. Zhang J. Kang Z. Xiong S. Mao and Z. Han. Generative AI-empowered simulation for autonomous driving in vehicular mixed reality metaverses arXiv preprint arXiv:2302.08418.

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