Grouping-Based Extended Discontinuous Reception with Adjustable eDRX Cycles for Smart Grid

Fan, Xuezhong; Hu, Qingsheng; Cao, Guo-Jin

doi:10.1109/smartgridcomm.2019.8909750

Cited by 9 publications

(16 citation statements)

References 4 publications

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“…By harnessing the power of neural networks, IoT devices can operate intelligently and adjust to changing conditions, ultimately leading to improved overall performance and resource optimization. 13 eDRX (extended discontinuous reception) sleep scheduling, as explained in Fan et al, 14 is a specialized sleep scheduling technique designed for LTE-M and NB-IoT cellular networks. It extends the principles of Discontinuous Reception (DRX) by introducing a unique feature-allowing devices to enter ultra-low-power sleep states for extended durations.…”

Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Hema,

Raj,

2024

Int J Communication

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SummaryThis research project takes on a crucial role in the quickly changing field of integrated 5G networks inside smart environments by concentrating on the creation of an extremely effective sleep scheduling system designed especially for Narrowband Internet of Things (NB‐IoT) devices. This work introduces a unique method for precisely controlling the nodes' sleep schedules through the use of convolutional neural network (CNN) architecture, which optimizes both energy usage and operating patterns. The principal goal still stands to guarantee the extended lifetime of operation and dependability of NB‐IoT devices in the larger framework of intelligent ecosystems driven by synchronized 5G networks. To achieve its objectives, the research explores a number of complex domains and employs cutting‐edge technologies and techniques, such as CNN‐based pattern recognition. This method's real‐time component is essential since it allows for prompt modifications to sleep schedules in order to optimize energy savings. Further boosting the devices' effectiveness and flexibility is continuous contact with a central server, which guarantees that the devices are updated with the most recent data and instructions. Essentially, the main objective of this study is to greatly increase the energy economy and operational lifetime of NB‐IoT devices, which will allow for stable and long‐lasting IoT deployments in the context of 5G networks in intelligent settings. This advancement is not only a boon for businesses and industries leveraging IoT technology but also a substantial step toward building smarter, more energy‐efficient, and resilient smart ecosystems that benefit society as a whole.

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Section: Literature Survey: Sleep Scheduling For Energy Savingsmentioning

confidence: 99%

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Hema,

Raj,

2024

Int J Communication

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“…By using the QSI, they increased the energy efficiency by reducing the time that an MTCD remains in the active state to check whether there is traffic activity to handle before entering the sleep state. In [18], the authors proposed a grouping-based extended discontinuous reception (eDRX) scheme that divided the users into different groups and assigned each group different eDRX parameters. The authors in [44] showed that using a variable DRX cycle length can reduce the energy consumption more than using an optimal but static DRX cycle.…”

Section: B Drx In the Mtc Fieldmentioning

confidence: 99%

“…Since ADRX is composed of two-layer bank-of-experts learning algorithms, we first analyze the performance of the Learnα algorithm. Since p t (j) is obtained by (18), the predicted value of α at the start of the t-th RC is given as…”

Section: E Analysis Of Adrxmentioning

confidence: 99%

“…For example, in [14], [15], the packet arrival time is assumed to follow a Poisson distribution, and the average packet arrival rate is estimated based on the previous traffic activities. In [12], [13], [17], [18], the conditional probability is updated using the previous packet arrival times, and the next packet arrival time is predicted using the statistical structure of the traffic arrival pattern. However, the data traffic arrival pattern varies according to factors such as the number and types of applica-tions supported by the MTCD, the scheduling behavior of the base station, and the congestion level of the communication network that the data packet traverses.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive DRX Method for MTC Device Energy Saving by Using a Machine Learning Algorithm in an MEC Framework

Yang

Wang

et al. 2021

IEEE Access

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“…In [2], analyze the impact of different packet arrival rate, paging intervals, eDRX cycle and paging occasion to power saving and wake up delay, but it mainly focus on the study of NB-IOT, the definition of paging occasion in NR is different from that of LTE and NB-IOT, and it didn't consider the energy consumption of light sleep ,micro sleep and deep sleep duration, the measurement of SSB also didn't be considered before paging occasion. The configuration parameters in simulation didn't consistent with the value in 3GPP specification.…”

Section: Introductionmentioning

confidence: 99%

The performance analysis of eDRX of RedCap in IoT

Wang,

Zhao,

Zhang

et al. 2023

Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023)

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eDRX has been introduced in 3GPP Release 17 for RedCap device as a key feature for optimizing UE power saving. This paper investigate the energy consumption factor and wake up delay of eDRX mechanism under different configuration parameters of RedCap device, a new type of low-cost device, which are applied in IOT, especially those scenarios with high energy efficiency. We study the theoretical calculation method of energy consumption saving factor and wake up delay when RedCap device is in RRC idle state, the traffic dada arrival rate follows the exponential distribution. We also verify the theoretical model by system simulation. Considering the tradeoff between energy consumption and wake up delay under actual traffic arrival rate, we give the recommended value of eDRX configuration parameters.

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Grouping-Based Extended Discontinuous Reception with Adjustable eDRX Cycles for Smart Grid

Cited by 9 publications

References 4 publications

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments

Adaptive DRX Method for MTC Device Energy Saving by Using a Machine Learning Algorithm in an MEC Framework

The performance analysis of eDRX of RedCap in IoT

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