5G宏TDD网络中用于URLLC部署的半静态无线电帧配置
Semi-Static Radio Frame Configuration for URLLC Deployments in 5G Macro TDD Networks
摘要：
动态时分双工（TDD）是5G新无线电标准的主要创新之一。它显著提高了网络资源利用率与零星的方向性分组到达。然而，这种部署中的超可靠和低延迟通信（URLLC）的可行性受到严重挑战，主要是由于交叉链路干扰（CLI）。在这项工作中，我们提出了一种用于5G宏部署的半静态和计算高效的TDD无线电帧自适应算法。特别是，我们首先确定的准静态方差的跨小区流量缓冲性能，与各种CLI共存条件。因此，基于经滤波的多小区业务统计来动态地估计公共无线电帧模式。我们的系统级仿真结果表明，所提出的解决方案实现了高度改善的URLLC中断性能，即，与完美的静态TDD相比，提供了可实现的URLLC中断延迟的40%的减少增益，并且接近最佳无干扰灵活TDD情况;但是，具有显著更低的控制开销大小。
英文摘要：
Dynamic time division duplexing (TDD) is one of the major novelties of the 5G new radio standard. It notably improves the network resource utilization with sporadic directional packet arrivals. Although, the feasibility of the ultra-reliable and low-latency communications (URLLC) within such deployments is critically challenged, mainly due to the cross-link interference (CLI). In this work, we propose a semi-static and computationally-efficient TDD radio frame adaptation algorithm for 5G macro deployments. Particularly, we first identify the quasi-static variance of the cross-cell traffic buffering performance, with various CLI co-existence conditions. Accordingly, a common radio frame pattern is dynamically estimated based on the filtered multi-cell traffic statistics. Our system-level simulation results show that the proposed solution achieves a highly improved URLLC outage performance, i.e., offering 40% reduction gain of the achievable URLLC outage latency compared to perfect static-TDD, and approaching the optimal interference-free flexible-TDD case; though, with a significantly lower control overhead size.
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