Comprehensive Throughput Analysis of Unslotted ALOHA for Low Power Wide Area Networks

Jun Bae Seo, Yangqian Hu, Sangheon Pack, Hu Jin

Research output: Contribution to journalArticlepeer-review

Abstract

Unslotted ALOHA has been often employed by several low power wide area networks (LPWANs) for Internet-of-Things (IoTs) as a random access (RA) protocol. This work analyzes the performance of unslotted ALOHA systems in terms of throughput and RA delay, and investigates their optimization. Our analysis consists of 1) two-heterogeneous user case, whose backoff rate and packet length are different, 2) N-homogeneous user case, whose backoff rate and packet length are identical, and 3) homogeneous users of infinite population model. In the two-user case, we investigate the throughput region of unslotted ALOHA by using a multiobjective optimization problem (MOOP) and derive the Laplace Stieltjes transform (LST) of the probability density function (PDF) of RA delay. For N-homogeneous user case, we show how the throughput behaves according to the population size, packet length, and backoff rate. Our work may provide a comprehensive analytical framework for unslotted ALOHA systems.

Original languageEnglish
JournalIEEE Internet of Things Journal
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Access delay
  • Delays
  • Hardware
  • Heterogeneous users
  • Internet of Things
  • Low-power wide area networks
  • Pure ALOHA
  • Renewal theorem.
  • Sociology
  • Statistics
  • Throughput
  • Throughput
  • Unslotted ALOHA

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Comprehensive Throughput Analysis of Unslotted ALOHA for Low Power Wide Area Networks'. Together they form a unique fingerprint.

Cite this