# Standardization of Extended Reality (XR) over 5G and 5G-Advanced 3GPP New Radio

arXiv: https://arxiv.org/abs/2203.02242 · HTML: https://mlsanity.com/paper/2203.02242/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Mar 2022.

## Built on by (most cited first, 4 of 4)

- [Optimizing Wireless Discontinuous Reception via MAC Signaling Learning](https://mlsanity.com/paper/2406.13834/) (2024)
- [Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach](https://mlsanity.com/paper/2501.02572/) (2025)
- [Learn to Optimize Resource Allocation under QoS Constraint of AR](https://mlsanity.com/paper/2501.16186/) (2025)
- [Intelligent Radio Resource Slicing for 6G In-Body Subnetworks](https://mlsanity.com/paper/2603.28529/) (2026)

## Abstract (arXiv)

Extended Reality (XR) is one of the major innovations to be introduced in 5G/5G-Advanced communication systems. A combination of augmented reality, virtual reality, and mixed reality, supplemented by cloud gaming, revisits the way how humans interact with computers, networks, and each other. However, efficient support of XR services imposes new challenges for existing and future wireless networks. This article presents a tutorial on integrating support for the XR into the 3GPP New Radio (NR), summarizing a range of activities handled within various 3GPP Service and Systems Aspects (SA) and Radio Access Networks (RAN) groups. The article also delivers a case study evaluating the performance of different XR services in state-of-the-art NR Release 17. The paper concludes with a vision of further enhancements to better support XR in future NR releases and outlines open problems in this area.