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http://dx.doi.org/10.17661/jkiiect.2020.13.5.370

Group-based Random Access Using Variable Preamble in NB-IoT System  

Kim, Nam-Sun (Division of Electrical & Electronic Engineering, Daejin University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.13, no.5, 2020 , pp. 370-376 More about this Journal
Abstract
In this study, we consider a group-based random access method for group connection and delivery by grouping devices when H2H devices and large-scale M2M devices coexist in a cell in NB-IoT environment. H2H devices perform individual random access, but M2M devices are grouped according to a NPRACH transmission period, and a leader of each group performs random access. The preamble is allocated using the variable preamble allocation algorithm of the Disjoint Allocation(DA) method. The proposed preamble allocation algorithm is an algorithm that preferentially allocates preambles that maximizes throughput of H2H to H2H devices and allocates the rest to M2M devices. The access distribution of H2H and M2M devices was set as Poisson distribution and Beta distribution, respectively, and throughput, collision probability and resource utilization were analyzed. As the random access transmission slot is repeated, the proposed preamble allocation algorithm decreases the collision probability from 0.93 to 0.83 and 0.79 when the number M2M device groups are 150. In addition, it was found that the amount of increase decreased to 33.7[%], 44.9[%], and 48.6[%] of resource used.
Keywords
Collision Probability; Disjoint Allocation; MTC; NB-IoT; Random Access;
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  • Reference
1 "Connection' is power. New Narrowband Internet of Things Era," ETRI Webzine Vol. 80, 2017
2 K. Junghyun, J. Soonbae, and Y. Cheolwoo, "Efficient Congestion Control Technique of Random Access and Grouping for M2M according to User Type on 3GPP LTE-A systems," Journal of IEIE, Vol.52, No.3, March 2015
3 C. Eunmi and B. Chul Jung, "Analysis of Radio Resource Utilization for a Massive M2M Communication in LTE Systems," The Journal of KICS, Vol. 42 No. 3, pp. 562-565, 2017   DOI
4 J. Soyi, K. Jinki, C. Hyerim, and K. Jaehyun, "Random Access Resource Allocation Algorithm using Unmanned Vehicle in massive Machine Type Communications," in Proc. KICS, Vol. 68, No. 1, pp. 494-495, 2019
5 "Radio Resource Control (RRC) protocol specification (Release 13)," 3GPP TS 36.331, Vol. 13, June, 2016.
6 H. Seungjang and B. Chuljung, "Dynamic Group Paging Mechanism for Massive IoT Networks," in Proc. KICS, Jan. 2018
7 L. Byunghyun, M. Seokjae, and L. Jangwon, "Group-based access for Signaling overhead reduction of IoT devices," in Proc. JCCI, 2018
8 J. Younghwan, Group-based communi- cations for scalable machine-to- machine communications in LTE- advanced networks, Ph. D. Dissertation, Korea University, June 2016.
9 3GPP TR 37.868, "3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Study on RAN Improvements for Machine Type Communications; MAC layer; Measurements(Release 11)," 2012.
10 A. Pourmoghadas and P. G. Poonacha, "Performance analysis of a machine-to- machine friendly MAC algorithm in LTE-advanced," 2014 Int. Conf. on ICACCI, pp. 99-105, 2014
11 G. M. Bouba, J. J. Mbainaibeye, K. T. James, and L. Claude, "Advanced Random Access Channel Congestion Detection Model for Internet of Thing Based on Long Term Evolution and Mathematical Analysis," Int. Journal of MCTR, Vol. 6, pp. 1-7, 2018