With the development of 5G, innovative applications requiring bounded transmission delays and zero packet loss emerge, e.g., AR, industrial automation, and smart grid. In this circumstance, time-sensitive networking (TSN) is proposed, which addresses the deterministic transmission in the local area networks. Nevertheless, TSN is essentially a Layer 2 technique, which cannot provide deterministic transmission on a large geographic area. To solve this problem, this paper proposes a hierarchical network for the end-to-end deterministic transmission. In the proposed network, we leverage CQF (i.e., one of the most efficient TSN mechanisms) in the access networks which aggregates the traffic from end-devices. Meanwhile, in the core network, we exploit the DIP (i.e., a well-known deterministic networking mechanism for backbone networks) for long-distance deterministic transmission. We design the cycle alignment mechanism to enable seamless and deterministic transmission among hierarchical networks. A joint schedule is also formulated, which introduces the traffic shaping at the network edge to maximize the network throughput. Experimental simulations show that the proposed network can achieve end-to-end deterministic transmission, even in the highly-load scenarios.
翻译:随着5G的开发,要求受约束传输延迟和零包损失的创新应用出现了,例如AR、工业自动化和智能网格。在这种情况下,提议建立时间敏感的网络(TSN),处理局域网中的定点传输。然而,TSN基本上是一种第2层技术,不能在大地理区域提供确定性传输。为了解决这个问题,本文件提议了终端至终端确定性传输的等级网络。在拟议的网络中,我们利用CQF(即效率最高的TSN机制之一)在连接终端设备交通的接入网络中使用CQF。与此同时,在核心网络中,我们利用DIP(即众所周知的骨干网络的确定性网络联网机制)进行长距离的确定性传播。我们设计了循环调整机制,以便能够在级别网络之间实现无缝和确定性传播。我们还制定了联合时间表,在网络边缘进行交通构造,以最大限度地实现网络的吞吐量。实验模拟显示,拟议的网络可以在高端到高端传输中实现高端-定点传输。