Browse > Article
http://dx.doi.org/10.7840/kics.2017.42.3.554

Slotted ALOHA Random Access with Multiple Coverage Classes for IoT Applications  

Kim, Sujin (Dongguk University Information and Communication Engineering)
Chae, Seungyeob (Dongguk University Information and Communication Engineering)
Cho, Sangjin (Dongguk University Information and Communication Engineering)
Rim, Minjoong (Dongguk University Information and Communication Engineering)
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.
Keywords
IoT; Slotted Aloha; MTC; Coverage Class; Random Access;
Citations & Related Records
연도 인용수 순위
  • Reference
1 O. Park, H. Hwang, C. Lee, and J. Shin, "Trends of 5G Massive IoT," Electron. and Telecommun. Trends., vol. 31, no. 1, pp. 68-77, Feb. 2016.
2 S. Seo, E. Shin, and K. Jo, "Trends of NB-IoT," Electron. and Telecommun. Trends., vol. 31, no. 5, pp. 11-20, Oct. 2016.
3 K. Zheng, S. Ou, J. Alonso-Zarate, M. Dohler, F. Liu, and H. Zhu, "Challenges of massive access in highly dense LTE-Advanced networks with machine-to-machine communications," IEEE Wirel. Commun., vol. 21, no. 3, pp. 12-18, Jun. 2014.   DOI
4 M. Hasan, E. Hossain, and D. Niyato, "Random access for machine-to-machine communication in LTE-Advanced networks: Issues and approaches," IEEE Commun. Mag., vol. 51, no. 6, pp. 86-93, Jun. 2013.   DOI
5 A. Laya, L. Alonso, and J. Alonso-Zarate, "Is the random access channel of LTE and LTE-A suitable for M2M communications? A survey of alternatives," IEEE Commun. Surveys & Tuts., vol. 16, no. 1, pp. 4-16, First Quarter 2014.   DOI
6 R. Ratasuk, A. Prasad, Z. Li, A. Ghosh, and M. Uusitalo, "Recent advancements in M2M communications in 4G networks and evolution towards 5G," ICIN, pp. 52-57, 2015.
7 S. Chae, S. Cho, S. Kim, M. Rim, and C. Kang, "Slotted aloha for massive connectivity in IoT," in Proc. KICS ICC 2015, pp. 535-536, Seoul, Korea, Nov. 2015.
8 S. Kim, S. Kim, H. Han, M. Rim, and C. Kang, "Handling congestion in cellular IoT systems for massive conncectivity," in Proc. KICS ICC 2016, pp. 85-86, Jeongseon, Korea, Jan. 2016.
9 S. Cho, S. Chae, S. Kim, M. Rim, and C. Kang, "Collision reduction of cell-edge devices in cellular IoT systems," in Proc. KICS ICC 2016, pp. 261-262, Jeongseon, Korea, Jan. 2016.
10 S. Chae, S. Kim, S. Cho, M. Rim, and C. Kang, "Orthogonal data repetition patterns for massive connectivity," ICTC, Oct. 2016.
11 S. Chae, S. Cho, S. Kim, and M. Rim, "Coded random access with multiple coverage classes for massive machine type communication," ICTC, Oct. 2016.
12 L. Dai, B. Wang, Y. Yuan, S. Han, C. I, and Z. Wang, "Non-orthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends," IEEE Commun. Mag., vol. 53, no. 9, pp. 74-81, Sept. 2015.   DOI
13 N. Zhang, J. Wang, G. Kang, and Y. Liu, "Uplink nonorthogonal multiple access in 5G systems," IEEE Commun. Lett., vol. 20, no. 3, pp. 458-461, Mar. 2016.   DOI
14 R1-163510: Qualcomm Incorporated, Candidate NR Multiple Access Schemes, 3GPP TSG RAN WG1 Meeting #84bis, Apr. 2016.
15 M. T. Islam, A. M. Haha, and S. Akl, "A survey of access management techniques in machine type communications," IEEE Commun. Mag., vol. 52, no. 4, pp. 74-81, Mar. 2014.   DOI
16 R1-162517: LG Electronics, Considerations on DL/UL Multiple Access for NR, 3GPP TSG RAN WG1 Meeting #84bis, Apr. 2016.
17 S. Chae, S. Cho, S. Kim, M. Rim, and C. Kang, "Orthogonal channelization in non-orthogonal multiple access for massive connectivity," in Proc. KICS ICC 2016, pp. 146-147, Seoul, Korea, Nov. 2016.
18 S. Cho, S. Chae, S. Kim, S. Kim, and M. Rim, "Inter-cell interference control in uplink non-orthogonal multiple access," in Proc. KICS ICC 2016, pp. 138-139, Seoul, Korea, Nov. 2016.
19 S. Kim, S. Kim, S. Cho, S. Chae, and M. Rim, "On the channel estimation in uplink non-orthogonal multiple access," in Proc. KICS ICC 2016, pp. 394-395, Seoul, Korea, Nov. 2016.
20 R1-162385: Intel Corporation, Multiple Access Schemes for New Radio Interface, 3GPP TSG RAN WG1 Meeting #84bis, Apr. 2016.