Analysis of Joint Scheduling and Power Control for Predictable URLLC in Industrial Wireless Networks
Analysis of Joint Scheduling and Power Control for Predictable URLLC in Industrial Wireless Networks
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DOI：
10.1109/icii.2019.00041
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发表时间：
2019-11
期刊：
影响因子：
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通讯作者：
Ling Wang;Hongwei Zhang
中科院分区：
文献类型：
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作者：
Ling Wang;Hongwei Zhang
无线网络正被应用于各种工业领域，它们被用来支持需要超可靠、低延迟通信（URLLC）的关键任务工业物联网应用。确保可预测的每包通信可靠性是可预测URLLC的基础，而调度和电源控制是两个基本的使能因素。然而，在工业物联网中，调度和电源控制受到恶劣环境、动态通道和分布式网络设置等挑战。现有的解决方案大多基于启发式算法或网络性能的渐近分析，并且缺乏可现场部署的算法来确保可预测的每包可靠性。为了解决这一差距，我们研究了联合调度和功率控制的跨层设计，并分析了相关的挑战。本文引入Perron-Frobenius定理，证明了调度是保证可预测通信可靠性的必要条件，并通过研究干扰矩阵的特征，证明了在适当的传输功率控制下，具有相邻链路的调度有效地构造了一组可靠可行的链路。考虑到调度本身无法确保可预测的通信可靠性，同时确保高吞吐量和解决快速变化的信道动态，我们演示了功率控制如何帮助提高每个时刻的可靠性和长期吞吐量。在此基础上，我们提出了一个联合调度和功率控制的候选框架，并演示了该框架如何在不同时间尺度的无线信道动态存在下保证每包通信的可靠性。总的来说，这些发现为联合调度和功率控制的跨层设计提供了见解，以确保在无线网络动态和不确定性存在的情况下可预测的每包可靠性。
Wireless networks are being applied in various industrial sectors, and they are posed to support mission-critical industrial IoT applications which require ultra-reliable, low-latency communications (URLLC). Ensuring predictable per-packet communication reliability is a basis of predictable URLLC, and scheduling and power control are two basic enablers. Scheduling and power control, however, are subject to challenges such as harsh environments, dynamic channels, and distributed network settings in industrial IoT. Existing solutions are mostly based on heuristic algorithms or asymptotic analysis of network performance, and there lack field-deployable algorithms for ensuring predictable per-packet reliability. Towards addressing the gap, we examine the cross-layer design of joint scheduling and power control and analyze the associated challenges. We introduce the Perron–Frobenius theorem to demonstrate that scheduling is a must for ensuring predictable communication reliability, and by investigating characteristics of interference matrices, we show that scheduling with close-by links silent effectively constructs a set of links whose required reliability is feasible with proper transmission power control. Given that scheduling alone is unable to ensure predictable communication reliability while ensuring high throughput and addressing fast-varying channel dynamics, we demonstrate how power control can help improve both the reliability at each time instant and throughput in the long-term. Based on the analysis, we propose a candidate framework of joint scheduling and power control, and we demonstrate how this framework behaves in guaranteeing per-packet communication reliability in the presence of wireless channel dynamics of different time scales. Collectively, these findings provide insight into the cross-layer design of joint scheduling and power control for ensuring predictable per-packet reliability in the presence of wireless network dynamics and uncertainties.