论文标题
5G宏TDD网络中URLLC部署的半静电无线电框架配置
Semi-Static Radio Frame Configuration for URLLC Deployments in 5G Macro TDD Networks
论文作者
论文摘要
动态时师双工（TDD）是5G新无线电标准的主要新颖性之一。它显着改善了通过零星定向数据包到达的网络资源利用率。虽然，这种部署内的超级可信和低延迟通信（URLLC）的可行性受到了挑战，主要是由于交联干扰（CLI）。在这项工作中，我们为5G宏部署提供了一种半静态和计算效率的TDD无线电框架适应算法。特别是，我们首先确定具有各种CLI共存条件的交叉细胞流量缓冲性能的准静态差异。因此，根据过滤后的多细胞流量统计数据，可以动态估计常见的无线电框架模式。我们的系统级仿真结果表明，所提出的解决方案可实现高度改进的URLLC中断性能，即，与完美的静态-TDD相比，可实现的URLLC停电潜伏期减少了40％，并接近了最佳的无干扰性柔性-TDD案例；但是，控制开销的大小明显降低。
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.
