Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis

Mahesh Marina, Valentin Radu, Konstantinos Balampekos

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We consider the crowdsourcing based mobile cellular network
measurement paradigm that is becoming increasingly
popular. In particular, we aim to study the impact of user indoor/
outdoor environment context at time of measurement.
Focusing on signal strength as the measurement metric and
using a real large crowdsourced measurement dataset for
central London area along with estimated environment state
(indoor or outdoor), we show that indoor-outdoor context
has a significant impact, suggesting that conflating indoor
and outdoor measurements can lead to unreliable results. We
validate these observations using a set of diverse and controlled
measurements with indoor/outdoor ground truth information.
We also discuss some opportunities for future
work (e.g., accurate and efficient context detection) relevant
to crowdsourced mobile network measurement systems.
Original languageEnglish
Title of host publication5th Workshop on All Things Cellular: Operations, Applications and Challenges
Subtitle of host publicationCo-located with ACM SIGCOMM 2015
Number of pages6
Publication statusPublished - 17 Aug 2015


Dive into the research topics of 'Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis'. Together they form a unique fingerprint.

Cite this