Performance Evaluation of XR in 6G: A System-Level Analysis of New Spectrum, Extreme MIMO and Advanced RRM

While extended reality (XR) applications are expected<br/>to be one of the cornerstone use cases for the 6G mobile<br/>communications system, the actual performance and capacity<br/>results for XR in 6G are yet to be rigorously established.<br/>This paper bridges this gap by developing a detailed system<br/>model for a candidate 6G network and using it for evaluating<br/>the performance of XR applications through extensive<br/>system-level simulations. We investigate three enablers for the<br/>6G networks: new spectrum utilization, extreme multiple-input<br/>multiple-output (MIMO) methods, and advanced radio resource<br/>management (RRM) techniques. Our results demonstrate a 3<br/>times XR capacity improvement over 5G baselines at 3.5 GHz<br/>using enhanced CSI feedback framework and advanced RRM<br/>techniques. Furthermore, by utilizing the new 7 GHz upper-mid<br/>band spectrum with extreme MIMO and a larger bandwidth,<br/>XR capacity can be further improved by approximately a factor<br/>of 10, supporting more than 50 users per cell. These findings<br/>provide the first quantitative evidence of 6G’s potential for XR<br/>and offer a crucial baseline for future 6G development.<br/>