Adaptive-Persistent Nonorthogonal Random Access Scheme for URLL Massive IoT Networks

Mohammad Moed Ebrahimi, Keyhan Khamforoosh, Mohammad Reza Amini, Amir Sheikhahmadi, Hana Khamfroush

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Critical massive Internet of Things networks are emerging technologies that face new challenges in designing transmission protocols for beyond 5G communication systems. Conventional transmission schemes are ill-suited to provide ultrareliable, lowlatency, and scalability requirements of IoT networks with the massive number of nodes having sporadic data traffic behavior. This article overcomes such challenges with proposing a random access transmission scheme that exploits nonorthogonal multiple access (NOMA) with short-packet transmissions and automatic request and repeat (ARQ) strategy with the limited number of retransmissions. To utilize the spectrum further and to meet ultrareliable low-latency requirement, an adaptive-persistent technique is proposed in which each node distributively controls its transmission based on the number of active devices without extra signaling. Since the nodes' data traffic behavior is assumed sporadic, NOMA-based clustering is performed dynamically at each frame, avoiding additional signaling overhead. Network metrics, such as reliability, effective sum rate, and the distribution of packet latency, are analytically derived. Furthermore, the effects of different network parameters, such as blocklength, the maximum number of packet replicas, number of nodes, and number of resource blocks on network metrics, are investigated and compared with S-ALOHA-ARQ. The analysis show that the proposed scheme outperforms conventional schemes in terms of effective sum rate, reliability, and average packet latency.

Original languageEnglish
Pages (from-to)1660-1671
Number of pages12
JournalIEEE Systems Journal
Volume17
Issue number1
DOIs
StatePublished - Mar 1 2023

Bibliographical note

Publisher Copyright:
© 2007-2012 IEEE.

Keywords

  • Internet of Things (IoT)
  • latency
  • nonorthogonal multiple access (NOMA)
  • random access (RA)
  • reliability

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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