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Flag-Assisted Early Release of RRC Scheme for Power Saving in NB-IoT System

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Smart Grid and Internet of Things (SGIoT 2019)

Abstract

As the 5G standard is about to be completed, the IoT applications will have the unprecedented development. Massive and various IoT devices sense and interact with the environment. Most of those devices are battery-powered and some of them are deployed at inaccessible locations, so how to reduce the power consumption is a critical issue. 3GPP proposed eDRX and two transport optimization mechanisms to help devices reduce power consumption. In this paper, based on the CP CIoT EPS Optimization, a flag-assisted Early Release of RRC scheme is proposed. The message flow is modified to make IoT devices enter RRC_IDLE early. The result shows that the flag-assisted Early Release of RRC can help IoT devices save power further.

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Acknowledgment

This work was supported by the Center for Open Intelligent Connectivity through the Featured Areas Research Center Program within the Framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan. This work was also sponsored by the R&D enhancement project “R&D of Network Behavior Security Analyses for IoT Devices on Advanced Edge Switch in an AIOT plus SDN Integrated Platform,” which is executed by EstiNet Technologies Inc. and partially sponsored by Hsinchu Science Park Bureau, Ministry of Science and Technology, Taiwan, R.O.C. The work of M.-H. Tsai was supported in part by the MOST under Grant 107-2221-E-006-062 and Grant 108-2221-E-006-112, and in part by the Industrial Technology Research Institute.

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Correspondence to Meng-Hsun Tsai .

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chang, HL., Hsieh, CY., Tsai, MH. (2020). Flag-Assisted Early Release of RRC Scheme for Power Saving in NB-IoT System. In: Deng, DJ., Pang, AC., Lin, CC. (eds) Smart Grid and Internet of Things. SGIoT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 324. Springer, Cham. https://doi.org/10.1007/978-3-030-49610-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-49610-4_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49609-8

  • Online ISBN: 978-3-030-49610-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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