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Wake-up Scheduling for Energy-Efficient Mobile Devices
IEEE Transactions on Wireless Communications ( IF 10.4 ) Pub Date : 2020-09-01 , DOI: 10.1109/twc.2020.2999339
Soheil Rostami , Hoang Duy Trinh , Sandra Lagen , Mario Costa , Mikko Valkama , Paolo Dini

Recently, discontinuous reception mechanisms (DRX) and wake-up schemes (WuS) have been proposed to enhance the energy efficiency of 5G mobile devices and prolong the battery lifetime. The existing DRX and WuS use commonly pre-configured parameters that cannot be adjusted dynamically. In this paper, a novel wake-up scheduling (WuSched) concept is introduced to further improve the energy efficiency of WuS-enabled mobile devices while controlling the buffering delay in a dynamic manner. The main idea of WuSched is to use a fixed configuration of the wake-up scheme and adjust the scheduling of the wake-up signals dynamically based on actual traffic arrivals. For this purpose, two different optimization approaches of the wake-up scheduling concept are proposed, analyzed, and compared, namely offline and online wake-up schedulers (WuSched-Offline and WuSched-Online). First, the WuSched-Offline is analyzed analytically for Poisson traffic arrivals and optimized (offline) to balance the average delay and power consumption. Second, the WuSched-Online is proposed to take online decisions based on traffic prediction, which is able to deal with general and more complex traffic models. Towards this end, we develop a framework for the prediction of packet arrivals based on recurrent neural networks. Numerical results show that both wake-up schedulers outperform the ordinary WuS-based system where wake-up scheduler is not deployed. In particular, for predefined delay requirements of video streaming, audio streaming, and mixed traffic flow, the WuSched-Online reduces the power consumption of the baseline WuS by up to 36%, 28% and 9%, respectively. Results also show that the WuSched-Offline has slightly better energy efficiency than the WuSched-Online in the case of Poisson packet arrivals, as it is optimized for that, while its power consumption is slightly higher than that of the WuSched-Online scheduler for realistic traffic scenarios.

中文翻译:

节能移动设备的唤醒调度

最近,已经提出了不连续接收机制(DRX)和唤醒方案(WuS)来提高 5G 移动设备的能源效率并延长电池寿命。现有的DRX和WuS使用通用的预配置参数,不能动态调整。在本文中,引入了一种新颖的唤醒调度 (WuSched) 概念,以进一步提高支持 WuS 的移动设备的能源效率,同时以动态方式控制缓冲延迟。WuSched 的主要思想是使用固定配置的唤醒方案,并根据实际交通到达动态调整唤醒信号的调度。为此,提出、分析和比较了唤醒调度概念的两种不同优化方法,即离线和在线唤醒调度程序(WuSched-Offline 和 WuSched-Online)。首先,WuSched-Offline 对泊松流量到达进行分析分析并优化(离线)以平衡平均延迟和功耗。其次,WuSched-Online 提出了基于流量预测的在线决策,能够处理一般和更复杂的流量模型。为此,我们开发了一个基于循环神经网络的数据包到达预测框架。数值结果表明,这两种唤醒调度器都优于未部署唤醒调度器的普通基于 WuS 的系统。特别是对于视频流、音频流和混合流量流的预定义延迟要求,WuSched-Online 将基线 WuS 的功耗降低了高达 36%、28% 和 9%,分别。结果还表明,在泊松数据包到达的情况下,WuSched-Offline 的能效比 WuSched-Online 略好,因为它为此进行了优化,而其功耗略高于 WuSched-Online 调度器的实际情况。交通场景。
更新日期:2020-09-01
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