论文标题
超过3GPP 5G高级新收音机的扩展现实：链接适应增强功能
Extended Reality over 3GPP 5G-Advanced New Radio: Link Adaptation Enhancements
论文作者
论文摘要
第五代（5G）的快速新兴服务之一是扩展现实（XR），它结合了几种沉浸式体验和云游戏服务。这些服务要求在严格的延迟约束下要求相对较高的数据速率，有时也称为可靠的实时应用程序。支持每个单元格的许多XR用户都需要高效的无线电解决方案。在本文中，我们提出了一个增强的通道质量指标（CQI），该指标可以更好地适应链接，以释放基于XR案例的基于代码块组（CBG）的全部性能潜力。我们同时介绍了相关问题和解决方案的分析分析，以及与第三代合作伙伴项目（3GPP）定义的高级模拟方法一致的广泛动态系统级别评估。我们的结果表明，与当前具有基线CQI方案的5G系统可以支持的XR系统容量增加了17％至33％。我们还基于对用户设备（UE）实施有吸引力的衍生封闭形式表达式提出增强的CQI复杂性降低技术。
One of the rapidly emerging services for fifth-generation (5G)-Advanced is eXtended Reality (XR) which combines several immersive experiences and cloud gaming services. Those services are demanding as they call for relatively high data rates under tight latency constraints, sometimes also referred to as dependable real-time applications. Supporting as many XR users per cell requires highly efficient radio solutions. In this paper, we propose an enhanced channel quality indicator (CQI) that results in a better link adaptation to unleash the full performance potential of code block group (CBG) based transmissions for XR cases. We present both an analytical analysis of the related problems and solutions, as well as an extensive dynamic system-level performance assessment in line with the 3rd generation partnership project (3GPP)-defined advanced simulation methodologies. Our results show an increased XR system capacity of 17% to 33% as compared to what can be supported by current 5G systems with baseline CQI schemes. We also present enhanced CQI complexity-reducing techniques based on derived closed-form expressions that are attractive to the user equipment (UE) implementation.
