• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice

Vol. 11, No.7, July 31, 2017
10.3837/tiis.2017.07.001, Download Paper (Free):

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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Cite this article

[IEEE Style]
Guolin Sun, Guohui Wang, Prince Clement Addo, Guisong Liu and Wei Jiang, "Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice," KSII Transactions on Internet and Information Systems, vol. 11, no. 7, pp. 3309-3328, 2017. DOI: 10.3837/tiis.2017.07.001

[ACM Style]
Sun, G., Wang, G., Addo, P. C., Liu, G., and Jiang, W. 2017. Dynamic Resource Reservation for Ultra-low Latency IoT Air-Interface Slice. KSII Transactions on Internet and Information Systems, 11, 7, (2017), 3309-3328. DOI: 10.3837/tiis.2017.07.001