突发业务量下基于无人机的缓冲辅助中继网络延迟性能:移动还是静态?

Rukhsana Ruby, Hailiang Yang, Viet Quoc Pham, Kaishun Wu
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引用次数: 1

摘要

近年来,无人机辅助中继通信作为一种有益的应急服务受到了广泛的关注。在本文中,我们考虑了一个基于无人机的三节点中继网络,其中移动无人机在系统中剩余的两个节点之间建立通信。尽管有许多关于轨迹优化和其他通信资源的工作可供此类系统使用,但这些工作都没有解决系统在粒度分组级别上的延迟性能。此外,已经确定中继节点上的缓冲区设备通过利用更好的信道质量来提供更大的数据包传输灵活性。另一方面,随着多媒体和其他类似应用程序的不断普及,系统中的源节点很可能会收到来自不同外部网络的突发流量。考虑到源节点和无人机节点具有有限的数据包级缓冲区,并且无人机的轨迹是已知的,在突发流量模型下,我们的目标是研究系统的平均端到端数据包延迟和缓冲区溢出性能。在捕获无人机运动引起的可预测信道变化的同时,基于随机过程建立了源节点和无人机节点的排队模型。然后,从所建立的排队模型的动力学特性出发,导出了该系统的端到端平均数据包延迟和队列溢出概率。通过大量的数值仿真,对比了无人机的三种静态部署场景,验证了所提分析模型的准确性和有效性。通过提供充分的分析证据和数值结果,我们证明了移动中继系统在延迟和缓冲区溢出指标方面优于静态中继系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay Performance of UAV-Based Buffer-Aided Relay Networks under Bursty Traffic: Mobile or Static?
Being a beneficial service in emergency situations, UAV-aided relay communications have received tremendous attentions in the recent years. In this paper, we consider a three-node UAV-based relay network, in which a mobile UAV establishes communication between two remaining nodes in the system. Despite numerous works available for such a system on the optimization of trajectory and other communication resources, none of these have addressed the delay performance of the system at the granular packet level. Furthermore, it is already established that the equipment of buffer at the relay node provides more flexibility in the delivery of packets through the exploitation of better channel quality. On the other hand, with the continued popularity of multimedia and similar other applications, it is very likely that the source node in the system receives bursty traffic from different external networks. Given that the source and UAV nodes have finite packet-level buffers and the trajectory of the UAV is known, under a bursty traffic model, we aim to study the average end-to-end packet delay and buffer overflow performance of the system. While capturing the predictable channel variation due to the movement of the UAV, we establish a queuing model for the source and UAV nodes based on the stochastic process. Then, from the dynamics of the established queuing model, we derive the average end-to-end packet delay and queue overflow probability of such a system. Through extensive numerical simulation, we justify the accuracy and effectiveness of the proposed analytical model while comparing with three static deployment scenarios of the UAV. Through providing sufficient analytical evidence as well as the numerical results, we exhibit that a mobile relay system outperforms the static relay one in terms of both the delay and buffer overflow metrics.
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