Modelling and Optimization of DRX in Cellular IoT Networks: an MDP Approach
Modelling and Optimization of DRX in Cellular IoT Networks: an MDP Approach
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DOI：
10.1109/icc45041.2023.10279184
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Nicholas Accurso;Nicholas Mastronarde;Filippo Malandra
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文献类型：
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作者：
Nicholas Accurso;Nicholas Mastronarde;Filippo Malandra
由于物联网（IoT）中端点的指数增长，已经提出了新的协议来利用蜂窝基础设施，允许大量IoT设备通过它们进行通信。这些新颖的协议构成了蜂窝物联网（C-IoT）。在C-IoT中，端点的能效对于降低运营成本和所需的维护至关重要。能量减少的一种方法是不连续接收（DRX）。DRX允许设备的射频（RF）电路在短时间内关闭。在关闭时，设备会在节省能源和增加预期延迟之间进行权衡，这可以通过设备休眠的时间来调整。在本文中，我们将DRX建模为马尔可夫决策过程（MDP）。该MDP使用动态规划方法求解，并通过仿真验证。此外，除了改变流量强度之外，还通过改变设备在能量或网络性能上的优先级来探索能量-延迟权衡。
Due to the exponential growth of endpoints in the Internet of Things (IoT), new protocols have been proposed to utilize cellular infrastructures, allowing a large amount of IoT devices to communicate through them. These novel protocols make up the Cellular IoT (C-IoT). In C-IoT, the energy efficiency of endpoints is essential in order to reduce both operational cost and required maintenance. One method of energy reduction is Discontinuous Reception (DRX). DRX allows a device's Radio Frequency (RF) circuitry to turn off for brief periods of time. While off, the device experiences a tradeoff between saving energy and an increase in expected latency, which can be tuned by how long the device spends asleep. In this paper, we model DRX as a Markov Decision Process (MDP). This MDP is solved using a dynamic programming approach and verified through simulation. Further, the energy-latency tradeoff is explored by varying the device's priority on either energy or network performance in addition to varying the traffic intensity.