Efficient Pilot Allocation for URLLC Traffic in 5G Industrial IoT Networks

Emma Fitzgerald, M. Pióro
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引用次数: 4

Abstract

In this paper we address the problem of resource allocation for alarm traffic in industrial Internet of Things networks using massive MIMO. We formulate the general problem of how to allocate pilot signals to alarm traffic such that delivery is guaranteed, while also minimising the number of pilots reserved for alarms, thus maximising the channel resources available for other traffic, such as industrial control traffic. We present an algorithm that fulfils these requirements, and evaluate its performance both analytically and through a simulation study. For realistic alarm traffic characteristics, on average our algorithm can deliver alarms within two time slots (of duration equal to the 5G transmission time interval) using fewer than 1.5 pilots per slot, and even in the worst case it uses around 3.5 pilots in any given slot, with delivery guaranteed in an average of approximately four slots.
5G工业物联网中URLLC流量的高效试点分配
本文研究了大规模MIMO技术下工业物联网报警流量的资源分配问题。我们制定了如何将导频信号分配给报警流量以保证交付的一般问题,同时也最小化了为报警保留的导频数量,从而最大化了其他流量(如工业控制流量)可用的信道资源。我们提出了一种满足这些要求的算法,并通过分析和仿真研究来评估其性能。对于真实的报警流量特征,平均而言,我们的算法可以在两个时隙(持续时间等于5G传输时间间隔)内使用少于1.5个导频发送警报,即使在最坏的情况下,它在任何给定时隙中使用大约3.5个导频,平均约4个时隙保证发送。
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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