Indoor localization has broad application prospects, but accurately obtaining the location of
test points (TPs) in narrow indoor spaces is a challenge. The weighted K-nearest neighbor …

A quantum sensor (QS) is able to measure various physical phenomena with extreme
sensitivity. QSs have been used in several applications such as atomic interferometers, but …

The recent release of the third-generation partnership project, Release 17, calls for sub-
meter cellular positioning accuracy with reduced latency in the calculation. To provide such …

Fingerprinting is one of the most commonly used techniques for indoor localization due to
their high accuracy in the presence of the wireless channel noise. Nonetheless, they require …

We propose SoLoc, a lightweight probabilistic fingerprinting-based technique for energy-
free device-free indoor localization. The system harnesses photovoltaic currents harvested …

Quantum computing is a fast-developing field that has the ability to tackle complex problems
that conventional computers struggle with. Recently, quantum fingerprinting localization has …

In this paper, we present QHFP, a device-independent quantum fingerprint matching
algorithm that addresses two of the issues for realizing worldwide ubiquitous large-scale …

Deep learning-based fingerprinting is one of the current promising technologies for outdoor
localization in cellular networks. However, deploying such localization systems for …

Effective access points (APs) selection is a crucial step in localization systems. It directly
affects both localization accuracy and computational efficiency. Classical APs selection …

Fingerprinting techniques are widely used for localization because of their accuracy,
especially in the presence of wireless channel noise. However, the fingerprinting techniques …