论文标题
扩展现实代码块基于HARQ传输的增强链接改编
Enhanced Link Adaptation for Extended Reality Code Block Group based HARQ Transmission
论文作者
论文摘要
扩展现实（XR）是5 \ textsuperscript {th}生成（5G）和5G添加的最重要的媒体应用程序之一。 XR流量的特征是高数据速率具有有限的延迟约束，这对于带宽受限的无线系统具有挑战性。在本文中，我们提出了两个新的低复杂性增强外循环链路适应（EOLLA）算法，这些算法可显着提高满意XR用户的下行链路系统容量。该算法利用了代码块组（CBG）的混合自动重复请求（HARQ）多位反馈，以通过控制第一个和第二个块误差操作点来最大程度地减少反传递的无线电资源利用。通过分析评估和现实的系统级模拟评估，与已知的OLLA算法相比，提出的Eolla算法最多将系统容量提高了最高\ si {67} {\ pastor}。
Extended Reality (XR) is one of the most important media applications in 5\textsuperscript{th} Generation (5G) and 5G-Advanced. XR traffic is characterized by high data rates with bounded latency constraints, which is challenging for bandwidth-constrained wireless systems. In this paper, we propose two new low-complexity enhanced Outer Loop Link Adaptation (eOLLA) algorithms that significantly improve the downlink system capacity in terms of satisfied XR users. The algorithms exploit the Code Block Group (CBG)-based Hybrid Automatic Repeat reQuest (HARQ) multi-bit feedback for minimizing the radio resource utilization in retransmissions by controlling the first and second block error operation points. Evaluation by means of both analytical assessment and realistic system-level simulations verifies that the proposed eOLLA algorithms increase system capacity by up to \SI{67}{\percent} compared to known OLLA algorithms with traditional transport block based HARQ.
