KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice

  • Sun, Guolin (School of Computer Science and Engineering, University of Electronic Science and Technology of China) ;
  • Wang, Guohui (School of Computer Science and Engineering, University of Electronic Science and Technology of China) ;
  • Addo, Prince Clement (School of Computer Science and Engineering, University of Electronic Science and Technology of China) ;
  • Liu, Guisong (School of Computer Science and Engineering, University of Electronic Science and Technology of China) ;
  • Jiang, Wei (German Research Center for Artificial Intelligence (DFKI GmbH))
  • Received : 2016.05.29
  • Accepted : 2016.10.30
  • Published : 2017.07.31
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Abstract

The application of Internet of Things (IoT) in the next generation cellular networks imposes a new characteristic on the data traffic, where a massive number of small packets need to be transmitted. In addition, some emerging IoT-based emergency services require a real-time data delivery within a few milliseconds, referring to as ultra-low latency transmission. However, current techniques cannot provide such a low latency in combination with a mice-flow traffic. In this paper, we propose a dynamic resource reservation schema based on an air-interface slicing scheme in the context of a massive number of sensors with emergency flows. The proposed schema can achieve an air-interface latency of a few milliseconds by means of allowing emergency flows to be transported through a dedicated radio connection with guaranteed network resources. In order to schedule the delay-sensitive flows immediately, dynamic resource updating, silence-probability based collision avoidance, and window-based re-transmission are introduced to combine with the frame-slotted Aloha protocol. To evaluate performance of the proposed schema, a probabilistic model is provided to derive the analytical results, which are compared with the numerical results from Monte-Carlo simulations.

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References

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