Smart city environmental perception from ambient cellular signals

Isha Singh*, Stephan Sigg

*Corresponding author for this work

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

1 Citation (Scopus)


Smart cities require perception of environmental situation and peoples activities in order to trigger smart response and interaction. A seamless, non-intrusive means of environmental perception is Radio-based recognition since it promises ubiquitous reach and does not require any on-body worn devices or any form of active collaboration from the monitored subjects. Previous work has considered high-accuracy recognition from specialized equipment as well as utilization of WiFi CSI signals. However, these solutions can only generate silos within which recognition is performed, limited to building or organization scale. For true, city-scale environmental perception, we propose to exploit ubiquitously deployed cellular systems. In this paper, we investigate the use of cellular signals for environmental perception.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 17th International Conference, ICA3PP 2017, Proceedings
Number of pages10
Volume10393 LNCS
ISBN (Print)9783319654812
Publication statusPublished - 2017
MoE publication typeA4 Conference publication
EventInternational Conference on Algorithms and Architectures for Parallel Processing - Helsinki, Finland
Duration: 21 Aug 201723 Aug 2017
Conference number: 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10393 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349


ConferenceInternational Conference on Algorithms and Architectures for Parallel Processing
Abbreviated titleICA3PP


  • Cellular systems
  • Device free perception
  • Smart city


Dive into the research topics of 'Smart city environmental perception from ambient cellular signals'. Together they form a unique fingerprint.

Cite this