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 language | English |
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Journal | IEEE Internet of Things Journal |
DOIs | |
Publication status | Accepted/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