Prediction-based energy saving mechanism in 3GPP NB-IoT networks

Jinseong Lee, Jaiyong Lee

Research output: Contribution to journalArticlepeer-review

60 Citations (Scopus)


The current expansion of the Internet of things (IoT) demands improved communication platforms that support a wide area with low energy consumption. The 3rd Generation Partnership Project introduced narrowband IoT (NB-IoT) as IoT communication solutions. NB-IoT devices should be available for over 10 years without requiring a battery replacement. Thus, a low energy consumption is essential for the successful deployment of this technology. Given that a high amount of energy is consumed for radio transmission by the power amplifier, reducing the uplink transmission time is key to ensure a long lifespan of an IoT device. In this paper, we propose a prediction-based energy saving mechanism (PBESM) that is focused on enhanced uplink transmission. The mechanism consists of two parts: first, the network architecture that predicts the uplink packet occurrence through a deep packet inspection; second, an algorithm that predicts the processing delay and pre-assigns radio resources to enhance the scheduling request procedure. In this way, our mechanism reduces the number of random accesses and the energy consumed by radio transmission. Simulation results showed that the energy consumption using the proposed PBESM is reduced by up to 34% in comparison with that in the conventional NB-IoT method.

Original languageEnglish
Article number2008
JournalSensors (Switzerland)
Issue number9
Publication statusPublished - 2017 Sept 1

Bibliographical note

Funding Information:
Acknowledgments: This work was supported by the ICT R&D program of MSIP/IITP, Korea. [B0101-17-1276, Access Network Control Techniques for Various IoT Services].

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering


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