Robust and accurate indoor localization has been the goal of several research efforts over
the past decade. Toward achieving this goal, WiFi fingerprinting-based indoor localization …

Fingerprinting is one of the mainstream technologies for localization. However, it needs
significant storage overhead and running time, preventing it from scaling to support world …

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 …

The World Health Organization reported that face touching is a primary source of infection
transmission of viral diseases, including COVID-19, seasonal Influenza, Swine flu, Ebola …

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 …

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 …

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