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 …

An intelligent reflecting surface (IRS) allows to control signal propagation and may
substantially improve the energy utilization efficiency for sixth-generation mobile …

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 …