Enhanced Random Access for Massive-Machine-Type Communications

Byung Hyun Lee, Hyun Suk Lee, Seokjae Moon, Jang Won Lee

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this article, we study a random access (RA) scheme to alleviate the RA channel (RACH) overload problem in the massive-machine-type communication (mMTC) environment. We first propose a timing advance-based preamble resource expansion (TAPRE) scheme which effectively increases preamble resources and reduces the preamble collision probability by adjusting preamble transmission timing with timing advance (TA) information. We also propose a resource allocation wait (RAW) scheme which efficiently reduces the number of RA failures due to the lack of physical uplink shared channel (PUSCH) resources. We then propose an overall procedure for enhanced RA with TAPRE and RAW (ERATAR). In addition, we provide the analysis of RA performance by applying more practical assumptions than the existing analysis. We validate our analysis with the system level simulation based on NS-3, and compare the various performances of our ERATAR to those of existing works. Numerical results show that our analysis provides more accurate results than the existing work and our ERATAR provides significantly improved performances compared with those of existing works.

Original languageEnglish
Article number9260174
Pages (from-to)7046-7064
Number of pages19
JournalIEEE Internet of Things Journal
Volume8
Issue number8
DOIs
Publication statusPublished - 2021 Apr 15

Bibliographical note

Funding Information:
Manuscript received September 18, 2020; accepted November 6, 2020. Date of publication November 16, 2020; date of current version April 7, 2021. This work was supported in part by the Institute for Information and Communications Technology Promotion through the Korea Government (MSIT) (Development on the Core Technologies of Transmission, Modulation, and Coding with Low-Power and Low-Complexity for Massive Connectivity in the IoT Environment), South Korea, under Grant 2016-0-00181; and in part by the Midcareer Researcher Program through the NRF grant funded by MSIT under Grant NRF-2019R1A2C2084870. (Corresponding author: Jang-Won Lee.) Byung-Hyun Lee is with the Samsung Research, Samsung Electronics, Seoul 06765, South Korea (e-mail: yanox7382@gmail.com).

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

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