|
|
Performance analysis of single-cell adaptive data rate-enabled LoRaWAN |
|---|---|
| Author: | Hoeller, Arliones1,2,3; Souza, Richard Demo1; Montejo-Sánchez, Samuel4; |
| Organizations: |
1Department of Electrical and Electronics Engineering of the Federal University of Santa Catarina, 88040- 900 Florianópolis, Brazil 2Centre for Wireless Communications of the University of Oulu, 90570 Oulu, Finland 3Department of Telecommunications Engineering of the Federal Institute for Education, Science, and Technology of Santa Catarina, 88130-310 São José, Brazil
4Programa Institucional de Fomento a la I+D+i, Universidad Tecnológica Metropolitana, 8940577 Santiago, Chile
|
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202003178291 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2020
|
| Publish Date: | 2020-03-17 |
| Description: |
AbstractLoRaWAN enables massive connectivity for Internet-of-Things applications. Many published works employ stochastic geometry to derive outage models of LoRaWAN over fading channels assuming fixed transmit power and distance-based spreading factor (SF) allocation. However, in practice, LoRaWAN employs the Adaptive Data Rate (ADR) mechanism, which dynamically adjusts SF and transmit power of nodes based on channel state. The community addressed the performance of ADR using simulations, but analytical models have not been introduced. In this letter, we seek to close this gap. We build over an analytical LoRaWAN model to consider the performance of steady-state ADR-enabled LoRaWAN. We derive outage expressions and an optimization procedure to maximize the number of users under reliability constraints. Results show that power allocation reduces interference and improves network capacity while reducing average power. see all
|
| Series: |
IEEE wireless communications letters |
| ISSN: | 2162-2337 |
| ISSN-E: | 2162-2345 |
| ISSN-L: | 2162-2337 |
| Volume: | 9 |
| Issue: | 6 |
| Pages: | 911 - 914 |
| DOI: | 10.1109/LWC.2020.2975604 |
| OADOI: | https://oadoi.org/10.1109/LWC.2020.2975604 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This work has been partially supported in Brazil by CNPq, FAPESC, project PrInt CAPES-UFSC “Automation 4.0”, and INESC P&D Brazil and Energisa (R&D ANEEL PD-00405-1804/2018); in Finland by Academy of Finland (Aka) 6Genesis Flagship (Gr. 318927), EE-IoT (Gr. 319008), and Aka Prof (Gr. 307492); and in Chile by FONDECYT Postdoctoral (Gr. 3170021). |
| Academy of Finland Grant Number: |
318927 319008 307492 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) 319008 (Academy of Finland Funding decision) 307492 (Academy of Finland Funding decision) |
| Copyright information: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |