Aquilo: Temperature-aware scheduler for millimeter-wave devices and networks

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
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Abstract

Millimeter-wave is the core technology to enable multi-Gbps throughput and ultra-low latency connectivity. But the devices need to operate at very high frequency and ultra-wide bandwidth: They consume more energy, dissipate more power, and subsequently heat up faster. Device overheating is a common concern of many users, and millimeter-wave would exacerbate the problem. In this work, we first thermally characterize millimeter-wave devices. Our measurements reveal that after only 10 s of data transfer at 1.9 Gbps bit-rate, the millimeter-wave antenna temperature reaches 68°C; it reduces the link throughput by 21%, increases the standard deviation of throughput by 6×, and takes 130 s to dissipate the heat completely. Besides degrading the user experience, exposure to high device temperature also creates discomfort. Based on the measurement insights, we propose Aquilo, a temperature-aware, multi-antenna network scheduler. It maintains relatively high throughput performance but cools down the devices substantially. Our testbed experiments under both static and mobile conditions demonstrate that Aquilo achieves a median peak temperature only 0.5°C to 2°C above the optimal while sacrificing less than 10% of throughput.
Aquilo:毫米波设备和网络的温度感知调度器
毫米波是实现多 Gbps 吞吐量和超低延迟连接的核心技术。但是,设备需要在非常高的频率和超宽的带宽下运行:它们消耗更多的能量,耗散更多的功率,并随之更快地发热。设备过热是许多用户普遍担心的问题,而毫米波会加剧这一问题。在这项工作中,我们首先对毫米波设备进行了热特性分析。我们的测量结果表明,在 1.9 Gbps 比特率下传输数据仅 10 秒钟后,毫米波天线温度就达到 68°C;这会使链路吞吐量降低 21%,吞吐量标准偏差增加 6 倍,并且需要 130 秒才能完全散热。除了降低用户体验外,暴露在高设备温度下还会造成不适。根据测量结果,我们提出了温度感知多天线网络调度器 Aquilo。它既能保持相对较高的吞吐量性能,又能大幅降低设备温度。我们在静态和移动条件下进行的测试平台实验表明,Aquilo 实现的中值峰值温度仅比最佳温度高 0.5°C 至 2°C,而牺牲的吞吐量却不到 10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.70
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