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arXiv 2103.09323cs.NI
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智能反射面辅助URLLC在工厂自动化中的应用

Intelligent Reflecting Surface-aided URLLC in a Factory Automation Scenario

Hong Ren, Kezhi Wang, Cunhua Pan

摘要:

与传统的有线线路连接不同,通过无线传输的工业控制由于其降低的成本、增加的长期可靠性和增强的可靠性而被广泛认为是一种有前途的解决方案。然而,任务关键型应用强加了严格的服务质量(QoS)要求,这需要超可靠性低延迟通信(URLLC)。URLLC的主要特点是信道码块长度短,传统的香农容量不适用。在本文中,我们认为URLLC在工厂自动化(FA)的情况下。由于FA中设备部署密集,无线信号很容易被障碍物阻挡。为了解决这个问题,我们建议部署智能反射表面(IRS),以创建一个替代的传输链路,这可以提高传输的可靠性。在本文中,我们专注于在FA场景中的IRS辅助URLLC使能通信的性能分析。在有限信道块长度条件下,推导了7种情况下的平均数据率(ADR)和平均译码错误概率(ADEP):1)Rayleigh衰落信道; 2)直接信道链路; 3)Nakagami-m衰落信道; 4)非理想相位对准; 5)多IRS信道; 6)Rician衰落信道; 7)相关信道。大量的数值结果验证了我们的推导结果的准确性。

英文摘要:

Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution due to its reduced cost, increased long-term reliability, and enhanced reliability. However, mission-critical applications impose stringent quality of service (QoS) requirements that entail ultra-reliability low-latency communications (URLLC). The primary feature of URLLC is that the blocklength of channel codes is short, and the conventional Shannon's Capacity is not applicable. In this paper, we consider the URLLC in a factory automation (FA) scenario. Due to densely deployed equipment in FA, wireless signal are easily blocked by the obstacles. To address this issue, we propose to deploy intelligent reflecting surface (IRS) to create an alternative transmission link, which can enhance the transmission reliability. In this paper, we focus on the performance analysis for IRS-aided URLLC-enabled communications in a FA scenario. Both the average data rate (ADR) and the average decoding error probability (ADEP) are derived under finite channel blocklength for seven cases: 1) Rayleigh fading channel; 2) With direct channel link; 3) Nakagami-m fading channel; 4) Imperfect phase alignment; 5) Multiple-IRS case; 6) Rician fading channel; 7) Correlated channels. Extensive numerical results are provided to verify the accuracy of our derived results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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