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首页> 外文期刊>Internet of Things Journal, IEEE >Cross-Layer Design for Mission-Critical IoT in Mobile Edge Computing Systems
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Cross-Layer Design for Mission-Critical IoT in Mobile Edge Computing Systems

机译:在移动边缘计算系统中关键任务IOT的跨层设计

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摘要

In this paper, we establish a cross-layer framework for optimizing user association, packet offloading rates, and band-width allocation for mission-critical Internet-of-Things (MC-IoT) services with short packets in mobile edge computing (MEC) systems, where enhanced mobile broadband (eMBB) services with long packets are considered as background services. To reduce communication delay, the fifth generation new radio is adopted in radio access networks. To avoid long queueing delay for short packets from MC-IoT, processor-sharing (PS) servers are deployed at MEC systems, where the service rate of the server is equally allocated to all the packets in the buffer. We derive the distribution of latency experienced by short packets in closed form, and minimize the overall packet loss probability subject to the end-to-end delay requirement. To solve the nonconvex optimization problem, we propose an algorithm that converges to a near optimal solution when the throughput of eMBB services is much higher than MC-IoT services, and extend it into more general scenarios. Furthermore, we derive the optimal solutions in two asymptotic cases: communication or computing is the bottleneck of reliability. The simulation and numerical results validate our analysis and show that the PS server outperforms first-come-first-serve servers.
机译:在本文中,我们建立了用于优化用户关联,分组卸载率和用于任务关键互联网(MC-IOT)服务的频率宽度分配的横梁框架,在移动边缘计算中具有短数据包(MEC)具有长数据包的增强移动宽带(嵌入式)服务的系统被视为背景服务。为了降低通信延迟,在无线电接入网络中采用第五代新无线电。为避免MC-IOT的短数据包的长排队延迟,处理器共享(PS)服务器部署在MEC系统,其中服务器的服务速率同样地分配给缓冲区中的所有数据包。我们通过封闭形式推出了短数据包所经历的延迟的分布,并最大限度地减少对端到端延迟要求的整体丢失概率。为了解决非渗透优化问题,我们提出了一种算法,该算法将收敛到近最佳解决方案的eMBB服务远高于MC-IOT服务,并将其扩展为更常规的场景。此外,我们在两个渐近案例中获得最佳解决方案:通信或计算是可靠性的瓶颈。仿真和数值结果验证了我们的分析,并显示PS服务器优先表达了先达服务器服务器。

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