Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

Indoor localization has the capability to change the way of providing location-based services
in a closed environment and has more potential than that of GPS if the present shortcomings …

Abstract Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies
are still hard to find in the current literature and existing public repositories. This is unlike …

WiFi fingerprinting, one of the most popular methods employed in indoor positioning,
currently faces two major problems: lack of robustness to short and long time signal changes …

The indoor positioning service is one of the essential services needed in the Internet of
Things ecosystem. Recently, many researchers have focused on the fingerprinting method …

The nature of statistics is changing significantly with many opportunities to broaden the
discipline and its impact on science and policy. To realize this potential, our curricula and …

The spectrum cartography (SC) technique constructs multi-domain (eg, frequency, space,
and time) radio frequency (RF) maps from limited measurements, which can be viewed as …

The unceasing demand for continuous situational awareness calls for innovative and large-
scale signal processing algorithms, complemented by collaborative and adaptive sensing …

In recent years, indoor localization systems have been the object of significant research
activity and of growing interest for their great expected social impact and their impressive …

Wi-Fi fingerprinting is a well-known technique used for indoor positioning. It relies on a
pattern recognition method that compares the captured operational fingerprint with a set of …