Evaluation of cellular iot for sport wearables

Olli Apilo, Jukka Makela, Atte Kuosmonen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


In this paper, we evaluate the suitability of LTE for Machine-Type Communications (LTE-M) and Narrowband IoT (NB-IoT) for sport wearables. The evaluation is done in a live test network using commercial evaluation boards. The performance is measured in terms of throughput, latency, power consumption, NB-IoT cell reselection delay, and link distance. Based on the results, both NB-IoT and LTE-M are able to support periodic training data updates and message reception in normal conditions. The power consumption of the measured devices varies considerably, especially the measured LTE-M device consumes significantly more power than the power-optimized NB-IoT device. However, the current smart watch batteries should be able to support several hour training sessions if the non-modem power consumption is low. Coverage enhancements for NB-IoT can increase the link distance significantly with the cost of decreased throughput and increased delay, which prevents the use of fast training data upload at extended coverage regions.

Original languageEnglish
Title of host publication2019 IEEE 30th International Symposium on Personal, Indoor and Mobile Radio Communications
Subtitle of host publicationPIMRC Workshops 2019
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Electronic)978-1-5386-9358-2
ISBN (Print)978-1-5386-9359-9
Publication statusPublished - Sep 2019
MoE publication typeA4 Article in a conference publication
Event30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 - Istanbul, Turkey
Duration: 8 Sep 201911 Sep 2019


Conference30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
Abbreviated titlePIMRC Workshops


  • sports
  • power demand
  • throughput
  • current measurement
  • batteries
  • long term evolution

Fingerprint Dive into the research topics of 'Evaluation of cellular iot for sport wearables'. Together they form a unique fingerprint.

Cite this