Serving HTC and Critical MTC in a RAN Slice

V. Mancuso, P. Castagno, M. Sereno, M. Marsan
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引用次数: 2

Abstract

We consider a slice of a radio access network where human and machine users access services with either high throughput or low latency requirements. The slice offers both eMBB and URLLC service categories to serve HTC (Human-Type Communication) and MTC (Machine-Type Communication) traffic. We propose to use eMBB for both HTC and MTC, transferring machine traffic to URLLC only when eMBB is not able to meet the low latency requirements of MTC. We show that by so doing the slice is capable of providing very good performance to about one hundred MTC users under high HTC traffic conditions. Instead, running time-critical MTC over only eMBB is not doable at all, whereas using URLLC suffices for at most a few tens of devices. Therefore, our approach improves the number of users served by the slice by one order of magnitude, without requiring extra resources or compromising performance. To study system performance we develop a novel analytical model of uplink packet transmissions, which covers both legacy eMBB-or URLLC-based MTC, as well as our compound approach. Our model allows to tune slice parameters so as to achieve the desired balance between HTC and MTC service guarantees. We validate the model against detailed simulations using as an example an autonomous driving scenario.
在RAN切片中提供HTC和临界MTC
我们考虑无线接入网络的一部分,其中人类和机器用户访问具有高吞吐量或低延迟要求的服务。slice提供eMBB和URLLC服务类别,以服务HTC (Human-Type Communication)和MTC (Machine-Type Communication)流量。我们建议HTC和MTC都使用eMBB,只有当eMBB无法满足MTC的低延迟要求时,才将机器流量转移到URLLC。我们表明,通过这样做,切片能够在高HTC流量条件下为大约100个MTC用户提供非常好的性能。相反,只在eMBB上运行时间关键型MTC是根本不可做的,而使用URLLC最多可以满足几十个设备。因此,我们的方法将切片服务的用户数量提高了一个数量级,而不需要额外的资源或影响性能。为了研究系统性能,我们开发了一种新的上行数据包传输分析模型,该模型涵盖了传统的基于embb或基于urllc的MTC以及我们的复合方法。我们的模型允许调整切片参数,以实现HTC和MTC服务保证之间的预期平衡。我们以自动驾驶场景为例,对模型进行了详细的仿真验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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