Exploiting the capture effect to enhance RACH performance in cellular-based M2M communications

Jonghun Kim, Jaiyong Lee

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Cellular-based machine-to-machine (M2M) communication is expected to facilitate services for the Internet of Things (IoT). However, because cellular networks are designed for human users, they have some limitations. Random access channel (RACH) congestion caused by massive access from M2M devices is one of the biggest factors hindering cellular-based M2M services because the RACH congestion causes random access (RA) throughput degradation and connection failures to the devices. In this paper, we show the possibility exploiting the capture effects, which have been known to have a positive impact on the wireless network system, on RA procedure for improving the RA performance of M2M devices. For this purpose, we analyze an RA procedure using a capture model. Through this analysis, we examine the effects of capture on RA performance and propose an Msg3 power-ramping (Msg3 PR) scheme to increase the capture probability (thereby increasing the RA success probability) even when severe RACH congestion problem occurs. The proposed analysis models are validated using simulations. The results show that the proposed scheme, with proper parameters, further improves the RA throughput and reduces the connection failure probability, by slightly increasing the energy consumption. Finally, we demonstrate the effects of coexistence with other RA-related schemes through simulation results.

Original languageEnglish
Article number2169
JournalSensors (Switzerland)
Issue number10
Publication statusPublished - 2017 Oct

Bibliographical note

Funding Information:
Acknowledgments: This work was supported by the ICT R&D program of MSIP/IITP, Korea (B0101-17-1276, Access Network Control Techniques for Various IoT Services).

Publisher Copyright:
© 2017 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering


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