The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards
for outdoor positioning such as GPS. Among the different existing studies on indoor …

Deep learning has been widely adopted for channel state information (CSI)-fingerprinting
indoor localization systems. These systems usually consist of two main parts,.., a positioning …

Positioning has recently received considerable attention as a key enabler in emerging
applications such as extended reality, unmanned aerial vehicles and smart environments …

Abstract Channel State Information (CSI)-based localization with 802.11 has been proven
feasible in multiple scenarios and is becoming a serious threat to people's privacy in …

The federated distillation (FD) paradigm has been recently proposed as a promising
alternative to federated learning (FL), especially in wireless sensor networks with limited …

With the development of urbanization, the problem of neurological diseases brought about
by population aging has gradually become a social problem of worldwide concern. Aging …

Smartphone-based location estimation technology is becoming increasingly important
across various fields. Accurate location estimation plays a critical role in life-saving efforts …

This paper shows, using a technical perspective, the evolution of mobile technologies, from
the second generation (2G) to the fifth generation (5G). It is analyzed from the following …

Location awareness is crucial for numerous emerging wireless indoor applications. Deep
learning algorithms have demonstrated the potential for achieving the required level of …