实用的算法,为节能DRX配置在下一代手机

R. Karthik, A. Chakrapani
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引用次数: 18

摘要

在本文中,我们考虑无线通信系统,其中用户设备(ue)监控分组数据流量特性并采用不连续接收(DRX)来节省电池电量。使用DRX,接收器电路被配置为在指定的持续时间内在开(活动)和关(非活动)状态之间切换,这取决于数据包的到达过程。获得适当的DRX配置仍然是一个具有挑战性的研究问题,特别是当多个应用程序产生流量时。我们在这项工作中的目标是为选择合适的DRX配置提供一种实用的机制。首先,我们导出了在任何到达过程中,在offduration期间到达的数据包所需的预期最大时间(延迟)的解析表达式。其次,我们获得了预期延迟低于某一阈值的on-duration Ton*的估计。使用Ton*,我们通过考虑第三代合作伙伴计划(3GPP)第10版中指定的计时器和数据包之间给定的到达间隔时间分布,计算每个DRX周期中的活动持续时间,Tactive。最后,通过我们的分析,我们提出了一个实用的算法,并展示了如何选择一个合适的DRX配置,这将导致高功率效率和可接受的缓冲需求。通过对一般到达过程和实时跟踪的广泛分析和模拟,我们表明我们的算法可以显著延长UE的电池寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical algorithm for power efficient DRX configuration in next generation mobiles
In this paper, we consider wireless communication systems where user equipments (UEs) monitor packet-data traffic characteristics and adopt Discontinuous Reception (DRX) to conserve battery power. With DRX, the receiver circuitry is configured to toggle between on (active) and off (inactive) states for specified durations, depending on the packet arrival process. Arriving at an appropriate DRX configuration remains a challenging research issue, especially when multiple applications generate traffic. Our objective in this work is to provide a practical mechanism for selecting a suitable DRX configuration. First, we derive an analytical expression for the expected maximum time (delay) required for a packet arriving during the offduration to be serviced for any arrival process. Second, we obtain an estimate for the on-duration, Ton* for which the expected delay is below a certain threshold. Using Ton*, we compute the active duration, Tactive in each DRX cycle by considering the timers specified in 3rd Generation Partnership Project (3GPP) Release 10 and for a given interarrival time distribution between packets. Finally, using our analysis, we propose a pragmatic algorithm and show how to select an appropriate DRX configuration which will lead to high power efficiency with acceptable buffer requirements. Through extensive analysis and simulations both with general arrival processes and real-time traces, we show that our algorithm can lead to significant extension in battery life at the UE.
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