Exploring Performance Limits on Proactive Fair Scheduling for mmWave WLANs
Exploring Performance Limits on Proactive Fair Scheduling for mmWave WLANs
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DOI：
10.1109/lanman54755.2022.9820446
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Ang Deng;Yuchen Liu;D. Blough
中科院分区：
文献类型：
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作者：
Ang Deng;Yuchen Liu;D. Blough
尽管毫米波（mmWave）频段在满足日益增长的无线带宽需求方面具有巨大的潜力，但其固有的独特传播特性要求采用不同的调度策略，以最大限度地减少阻塞造成的性能下降。缓解阻塞问题的一种有希望的方法是主动调度，当用户经历良好的通道条件时，使用阻塞预测来调度用户。在本文中，我们提出了一个具有公平性约束的最优调度问题，该问题允许我们找到一个具有最大聚合率的调度，该调度与经典的比例公平调度程序达到近似相同的公平性。结果表明，对于所研究的问题设置，当阻塞可以提前0.5秒准确预测时，与经典的比例公平调度（PFS）相比，聚合率可能提高约30%，而公平性不会降低。此外，如果可以提前5秒准确预测阻塞，则聚合速率可以比PFS提高一倍。虽然这些结果显示了前瞻性调度的非常有希望的潜力，但我们也讨论了未来必须追求的几个研究方向，以有效地实现该方法。
Although the millimeter wave (mmWave) band has great potential to address ever-increasing demands for wireless bandwidth, its intrinsically unique propagation characteristics call for different scheduling strategies in order to minimize performance drops caused by blockages. A promising approach to mitigate the blockage problem is proactive scheduling, which uses blockage predictions to schedule users when they are experiencing good channel conditions. In this paper, we formulate an optimal scheduling problem with fairness constraints that allows us to find a schedule with maximum aggregate rate that achieves approximately the same fairness as the classic proportional fair scheduler. The results show that, for the problem settings studied, up to around 30% increase in aggregate rate compared to classic proportional fair scheduling (PFS) is possible with no decrease in fairness when blockages can be accurately predicted 0.5 seconds in advance. Furthermore, aggregate rate could be doubled compared to PFS if blockages can be accurately predicted 5 seconds in advance. While these results demonstrate the very promising potential of proactive scheduling, we also discuss several future research directions that must be pursued to effectively realize the approach.