Interference Measurements in the European 868 MHz ISM Band with Focus on LoRa and SigFox

Mads Lauridsen, Benny Vejlgaard, István Kovács, Huan Cong Nguyen, Preben Elgaard Mogensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

86 Citations (Scopus)
4794 Downloads (Pure)

Abstract

In this measurement study the signal activity and power levels are measured in the European Industrial, Scientific, and Medical band 863-870 MHz in the city of Aalborg, Denmark. The target is to determine if there is any interference, which may impact deployment of Internet of Things devices. The focus is on the Low Power Wide Area technologies LoRa and SigFox.
The measurements show that there is a 22-33 % probability of interfering signals above -105 dBm within the mandatory LoRa and SigFox 868.0-868.6 MHz band in a shopping area and a business park in downtown Aalborg, which thus limits the potential coverage and capacity of LoRa and SigFox. However, the probability of interference is less than 3 % in the three other measurement locations in Aalborg. Finally, a hospital and an industrial area are shown to experience high activity in the RFID subband 865-868 MHz, while the wireless audio band 863-865 MHz has less activity.
Original languageEnglish
Title of host publication2017 IEEE Wireless Communications and Networking Conference (WCNC)
Number of pages6
PublisherIEEE
Publication dateMar 2017
ISBN (Electronic)978-1-5090-4183-1
DOIs
Publication statusPublished - Mar 2017
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: 19 Mar 201722 Mar 2017

Conference

Conference2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period19/03/201722/03/2017
SeriesI E E E Wireless Communications and Networking Conference. Proceedings
ISSN1525-3511

Fingerprint Dive into the research topics of 'Interference Measurements in the European 868 MHz ISM Band with Focus on LoRa and SigFox'. Together they form a unique fingerprint.

Cite this