In urban environments, cellular network-based positioning of user equipment (ue) is a
challenging task, especially in frequently occurring non-line-of-sight (nlos) conditions. This …

In this work, we investigate user equipment (UE) positioning assisted by deep learning (DL)
in 5G and beyond networks. As compared to state of the art positioning algorithms used in …

Artificial intelligence and data-driven networks will be integral part of 6G systems. In this
article, we comprehensively discuss implementation challenges and need for architectural …

Indoor positioning is currently recognized as one of the important features in emergency,
commercial and industrial applications. The 5G network enhances mobility, flexibility …

This research examines the feasibility of using synchronization signals broadcasted by
currently deployed fifth generation (5G) cellular networks to determine the position of a static …

Positioning of people and things is now being considered as one vital feature for many
applications. The positioning support in cellular networks started with the regulatory …

In modern radio networks with large antenna arrays and precise beamforming techniques,
accurate user positioning plays a key role in enabling seamless mobility management, link …

The advent of Artificial Intelligence (AI) has im-pacted all aspects of human life. One of the
concrete examples of AI impact is visible in radio positioning. In this article, for the first time …

This paper deals with the problem of localization in a cellular network in a dense urban
scenario. Global Navigation Satellite Systems (GNSS) typically perform poorly in urban …

Accurate and reliable positioning solution is an important requirement for many applications,
for instance, emergency services and vehicular-related use cases. Positioning using cellular …