论文标题

利用多样性来实现超级可靠和低延迟的无线控制

Exploiting Diversity for Ultra-Reliable and Low-Latency Wireless Control

论文作者

Khosravirad, Saeed R., Viswanathan, Harish, Yu, Wei

论文摘要

本文为工业控制系统提供了无线通信协议,该协议使用渠道质量意识来动态创建网络设备合作并在瞬间较差的渠道条件下协助节点。到那时,通道状态信息用于识别具有较强和弱通道条件的节点。我们表明,网络中的强节点最好在单跳传输中提供,其传输速率适合其瞬时通道条件。同时,其余的时频资源用于使用两跳传输的较弱的通道条件的节点,并在所有节点之间进行合作通信,以满足目标可靠性与控制器的通信。我们在低延迟制度中制定了可实现的多用户和多人多样性的增益,并提出了一种新的计划,以利用这些计划,以利用可靠性和效率。因此,拟议的传输方案被称为自适应网络设备合作(ANDCOOP),因为它能够自适应地分配合作资源,同时享受网络的多用户多样性增益。我们提出了将节点与每个组相关联并在两组之间分配资源的优化问题。与文献中的现有方案相比,数值解决方案显示出光谱效率和系统可靠性的显着提高。结合拟议的传输策略的系统设计可以降低未来私人无线网络的基础设施成本。

This paper introduces a wireless communication protocol for industrial control systems that uses channel quality awareness to dynamically create network-device cooperation and assist the nodes in momentary poor channel conditions. To that point, channel state information is used to identify nodes with strong and weak channel conditions. We show that strong nodes in the network are best to be served in a single-hop transmission with transmission rate adapted to their instantaneous channel conditions. Meanwhile, the remainder of time-frequency resources is used to serve the nodes with weak channel condition using a two-hop transmission with cooperative communication among all the nodes to meet the target reliability in their communication with the controller. We formulate the achievable multi-user and multi-antenna diversity gain in the low-latency regime, and propose a new scheme for exploiting those on demand, in favor of reliability and efficiency. The proposed transmission scheme is therefore dubbed adaptive network-device cooperation (ANDCoop), since it is able to adaptively allocate cooperation resources while enjoying the multi-user diversity gain of the network. We formulate the optimization problem of associating nodes to each group and dividing resources between the two groups. Numerical solutions show significant improvement in spectral efficiency and system reliability compared to the existing schemes in the literature. System design incorporating the proposed transmission strategy can thus reduce infrastructure cost for future private wireless networks.

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