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Optimized Link Distribution Schemes for Ultrareliable and Low-Latent Communications in Multilayer Airborne Networks

机译:多层空气传播网络中的超可燃和低潜通通信的优化链接分配方案

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摘要

Ultrareliable and low-latency communications (uRLLC) is one of the most significant requirements for future wireless networks. The conventional terrestrial base stations cannot always provide the required uRLLC for emerging applications and scenarios, e.g., Tactile Internet services or when a large number of users get connected during an event. Therefore, multilayer airborne networks with low/medium/high altitude platforms can be deployed as an effective solution to offer capacity and coverage along with required latency and reliability for wireless networks. In this article, we propose three layers of the airborne network to support the uRLLC requirement in wireless networks. Optimized link selection schemes have been provided based on polychromatic sets (PSets) theory to focus on the uRLLC. With the optimized link selection algorithm, multiple properties of the airborne platforms are exploited, and the links are selected based on the multiconstrained requirements to support the desired performance of the airborne network. Moreover, two links distribution schemes have been proposed as distributed greedy scheme and centralized greedy scheme to demonstrate the deployment of the proposed airborne network. Numerical results show that both PSets-based links distribution schemes outperform the general distribution schemes on average latency and overall reliability also known as the unassociated ratio, which strongly supports the uRLLC in considered airborne networks.
机译:Utrarbuit和低延迟通信(URLLC)是未来无线网络最重要的要求之一。传统的地面基站不能总是为新出现的应用程序和场景提供所需的URLLC,例如,触觉互联网服务或在事件期间连接大量用户时。因此,可以部署具有低/中/高空平台的多层空气传播网络作为提供能力和覆盖范围以及无线网络所需的延迟和可靠性的有效解决方案。在本文中,我们提出了三层空中网络,以支持无线网络中的URLLC要求。已经基于多色集(PSETS)理论提供了优化的链路选择方案,以专注于URLLC。利用优化的链路选择算法,利用了空中平台的多种特性,基于多组织要求选择链路,以支持空中网络的所需性能。此外,已经提出了两个链路分配方案作为分布式贪婪方案和集中贪婪方案,以证明提出的空中网络的部署。数值结果表明,基于PSETS的链路分布方案始终俯视平均延迟的一般分布方案,也称为无关联比的总体可靠性,这强大地支持COME COPE IIRBORE网络中的URLLC。

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