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Scheduling in Multihop Wireless Networks Without Back-Pressure

机译:无背压的多跳无线网络中的调度

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This paper focuses on scheduling in multihop wireless networks where flows are associated with fixed routes. The well-known back-pressure scheduling algorithm is throughput-optimal, but requires constant exchange of queue length information among neighboring nodes for calculating the “back-pressure.” Moreover, previous research shows that the total queue length along a route increases quadratically as the route length under the back-pressure algorithm, resulting in poor delay performance. In this paper, we propose a self-regulated MaxWeight scheduling, which does not require back-pressure calculation. We prove that the self-regulated MaxWeight scheduling is throughput-optimal (an algorithm is said to be throughput-optimal if it can stabilize any traffic that can be stabilized by any other algorithm). In the simulation part, we show that the self-regulated MaxWeight scheduling has a much better delay performance than the back-pressure algorithm.
机译:本文着重于流与固定路由相关联的多跳无线网络中的调度。众所周知的背压调度算法是吞吐量最佳的,但是需要在相邻节点之间不断交换队列长度信息以计算“背压”。此外,先前的研究表明,在反压算法下,沿着路线的总排队长度随着路线的长度成倍增加,从而导致较差的延迟性能。在本文中,我们提出了一种自调节的MaxWeight调度,该调度不需要反压计算。我们证明了自调节的MaxWeight调度是吞吐量最佳的(如果可以稳定任何可以由其他算法稳定的流量,则该算法被称为吞吐量最佳)。在仿真部分,我们显示自调整的MaxWeight调度比背压算法具有更好的延迟性能。

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