Slotted ALOHA Random Access with Multiple Coverage Classes for IoT Applications 


Vol. 42,  No. 3, pp. 554-561, Mar.  2017


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  Abstract

IoT (Internet of Things) devices are often located in environments where indoor or underground, signals are difficult to reach. In addition, the transmission power is low, the base station should be designed to be able to receive signals even at low reception sensitivity. For this reason, a device having a poor channel condition can be transmitted at a low data rate using a low coding rate or repetition. When the coverage class is divided according to the channel condition and the data rate, the packet length may vary from one coverage class to another, and the performance of the slotted aloha random access may be degraded. We will focus on two methods of using shared-resource and seperate resources among multiple slotted aloha methods. In particular, when devices with different coverage classes use shared resources, performance of a device with a bad channel condition may deteriorate. Conversely, when using separate resources for each coverage class, there is a problem that congestion may occur which increases the number of devices that perform random access to one resource area. In this paper, we propose some methods to overcome this problem. This study is mainly focused on MTC devices, and is considered to be a high possibility of future development.

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  Cite this article

[IEEE Style]

S. Chae, S. Cho, M. Rim, 임민중, "Slotted ALOHA Random Access with Multiple Coverage Classes for IoT Applications," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 3, pp. 554-561, 2017. DOI: .

[ACM Style]

Seungyeob Chae, Sangjin Cho, Minjoong Rim, and 임민중. 2017. Slotted ALOHA Random Access with Multiple Coverage Classes for IoT Applications. The Journal of Korean Institute of Communications and Information Sciences, 42, 3, (2017), 554-561. DOI: .

[KICS Style]

Seungyeob Chae, Sangjin Cho, Minjoong Rim, 임민중, "Slotted ALOHA Random Access with Multiple Coverage Classes for IoT Applications," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 3, pp. 554-561, 3. 2017.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880