mmWave Wireless Backhaul Scheduling of Stochastic Packet Arrivals

P. Garncarek, T. Jurdzinski, D. Kowalski, Miguel A. Mosteiro
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引用次数: 5

Abstract

Millimeter wave communication (mmWave) allows high-speed access to the radio channel. Given the highly-directional nature of mmWave, dense deployments can be implemented with a macro base station serving many micro base stations, rather than connecting micro base stations directly to the core network as in legacy cellular systems. Moreover, micro base stations may cooperate in relaying packets to other micro base stations. Relays and spatial reuse speed up communication, but increase the complexity of scheduling. In this work, we study the mmWave wireless backhaul scheduling problem in the described architecture, assuming stochastic arrival of packets at the macro base station to be delivered to micro base stations. We present various results concerning system stability, defined as a bounded expected queue sizes of macro base station and micro base stations, under different patterns of random traffic. In particular, that almost all admissible arrival patterns could be handled by some universally stable algorithms, while non-admissible arrival patterns do not allow stability for any algorithm.
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随机分组到达毫米波无线回程调度
毫米波通信(mmWave)允许高速接入无线信道。考虑到毫米波的高度定向特性,密集部署可以通过一个宏基站服务许多微基站来实现,而不是像传统蜂窝系统那样将微基站直接连接到核心网络。此外,微基站可以合作将分组中继到其他微基站。中继和空间复用加快了通信速度,但也增加了调度的复杂性。在这项工作中,我们研究了所述架构中的毫米波无线回程调度问题,假设数据包随机到达宏基站并传递给微基站。在不同的随机流量模式下,我们给出了关于系统稳定性的各种结果,将系统稳定性定义为宏基站和微基站有界的期望队列大小。特别是,几乎所有允许的到达模式都可以由一些普遍稳定的算法处理,而不允许的到达模式不允许任何算法的稳定性。
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