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Advanced Sleep Modes and Their Impact on Flow-Level Performance of 5G Networks

机译:高级睡眠模式及其对5G网络流量级性能的影响

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The concept of Advanced Sleep Modes (ASMs) corresponds to a gradual deactivation of the Base Station (BS)'s components in order to decrease the Energy Consumption (EC). We propose in this paper a strategy to implement the ASMs and to manage users whose service requests occur whilst the BS is sleeping. As the BS has to wake up periodically to send signaling bursts, we increase this periodicity in order to extend the sleep durations and hence maximize the energy gains. We study several scenarios with various traffic profiles and different periodicities of signaling bursts and quantify the outcomes of this solution, both in terms of EC reduction and quality perceived by the users (mainly throughput and latency). Our results show that high energy gains (up to 90%) can be obtained using ASMs, albeit some degradation in throughput (ranging from 3% to 19% in low loads depending on the signaling periodicity) and latency (less than 1ms for low periodicities and around 5ms for larger ones).
机译:为了降低能耗(EC),高级睡眠模式(ASM)的概念与逐渐停用基站(BS)的组件相对应。我们在本文中提出了一种策略,用于实现ASM并管理在BS处于睡眠状态时发生服务请求的用户。由于BS必须定期唤醒才能发送信令突发,因此我们增加了此周期性,以延长睡眠持续时间,从而最大程度地提高能量增益。我们研究了具有各种流量配置文件和不同信号突发周期的几种情况,并从EC降低和用户感知的质量(主要是吞吐量和延迟)方面量化了此解决方案的结果。我们的结果表明,使用ASM可以获得高能量增益(高达90%),尽管吞吐量(根据信令周期,在低负载下从3%到19%不等)和延迟(小于1ms)会有所降低对于低周期性,对于较大的周期性大约为5ms)。

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