Localization techniques are becoming key to add location context to the Internet-of-Things
(IoT) data without human perception and intervention. Meanwhile, the newly emerged low …

Wireless Local Area Networks (WLANs) are commonly deployed in various environments.
The WLAN data packets are not transmitted continuously but often worst-case exposure of …

Every year, for ten years now, the IPIN competition has aimed at evaluating real-world
indoor localisation systems by testing them in a realistic environment, with realistic …

Accurate wireless network planning is crucial for the deployment of new wireless services.
This usually requires the consecutive evaluation of many candidate solutions, which is only …

This paper presents a new metric to evaluate electromagnetic exposure induced by wireless
cellular networks. This metric takes into account the exposure induced by base station …

In mobile communications network planning (and designing any radio system), coverage
prediction helps network operators optimize cellular networks to improve customer …

A modified indoor path loss prediction model is presented, namely, effective wall loss model.
The modified model is compared to other indoor path loss prediction models using …

Ultra-wideband (UWB) indoor positioning systems have the potential to achieve sub-
decimeter-level accuracy. However, the ranging performance degrades significantly under …

This paper explores the data cleaning challenges that arise in using WiFi connectivity data
to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi …

We present a smartphone-based indoor localisation system, able to track pedestrians over
multiple floors. The system uses Pedestrian Dead Reckoning (PDR), which exploits data …