An Optimal Wireless Resource Allocation of Machine-Type Communications in the 5G Network for Situation Awareness of Active Distribution Network

Advanced metering infrastructure is a key component of the active distribution network (ADN), aiming to enable massive multisource data in the ADN to be collected in real time. However, it is difficult to achieve optimal wireless resource allocation for massive devices, especially for scenarios wher...

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Bibliographic Details
Published in2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) pp. 1 - 7
Main Authors Li, Qiyue, Tang, Haochen, Sun, Wei, Li, Weitao, Xu, Xiaobing
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.11.2020
Subjects
5G mobile communication
Resource management
Scheduling
Sensors
Smart grids
Wireless communication
Wireless sensor networks
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Summary:Advanced metering infrastructure is a key component of the active distribution network (ADN), aiming to enable massive multisource data in the ADN to be collected in real time. However, it is difficult to achieve optimal wireless resource allocation for massive devices, especially for scenarios where emergency faults occur randomly. In this paper, an optimal wireless resource allocation scheme based on the 5G network is proposed, which can optimally support collaborative scheduling and resource allocation for normal sampling data and emergency sampling data. The exhaustive simulation and experimental results show that with limited resource blocks, our proposed algorithm can maintain the dropping ratio of lower data packets while achieving optimal energy efficiency for massive smart meters, comparing with other typical counterparts.
DOI:10.1109/SmartGridComm47815.2020.9302944