XR Device Differentiation via Priority Scheduling
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Solution Overview
Problem
Current extended reality (XR) devices face challenges in differentiated network latency and quality of service, as traditional mechanisms like guaranteed bit rate (GBR) and quality of service identifier (QCI) do not distinguish between different data services, leading to inefficient resource allocation and high costs.
Innovation Solution
The implementation of an XR identifier sent to the base station allows for prioritization of XR device transmissions, enabling separate network queues and informed scheduling to ensure low latency data delivery, thereby differentiating XR devices from other network devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional quality of service mechanisms (QCI) are used for network resource allocation, then all data services receive equal treatment, but XR devices cannot achieve low latency performance required for successful operation
Solution Approach 1:
The patent segments network resource allocation by introducing device-type identification that distinguishes XR devices from other devices. The base station segments traffic handling by recognizing XR device identifiers and applying differentiated scheduling, separating XR traffic from general traffic streams to ensure low latency processing.
Solution Approach 2:
The patent applies local quality by providing enhanced quality of service specifically to XR devices rather than uniform treatment. The base station applies differentiated resource allocation, priority scheduling, and latency optimization locally to identified XR devices while maintaining standard service for other devices.
2Reliability
If guaranteed bit rate (GBR) is provided to ensure low latency for XR devices, then XR device performance is improved, but network costs increase significantly
Solution Approach 1:
The patent applies partial action by providing enhanced quality of service only to identified XR devices rather than guaranteeing bit rate to all devices. The base station applies priority scheduling and resource allocation selectively to XR devices based on device-type identification, providing sufficient but not excessive resources compared to full GBR implementation.
3Ease of operation
If network resources are allocated uniformly to all devices, then resource allocation simplicity is maintained, but XR devices experience insufficient priority treatment leading to high latency
Solution Approach 1:
The patent introduces device-type identification as an intermediary mechanism that enables differentiated resource allocation without complex manual configuration. The base station uses the XR device identifier as an intermediary to automatically trigger priority scheduling and enhanced quality of service, simplifying the differentiation process while achieving low latency performance.
Data Source
AI summary
Aspects provided herein to provide methods, systems, and a non-transitory computer storage media storing computer-useable instructions to differentiate extended reality (XR) devices in a wireless network. The method begins a base station receiving an uplink message containing an XR identifier from an XR device. The base station determines a priority for the XR device using the XR identifier. Based on the priority transmissions are scheduled to the XR device.


