The rapid growth of intelligent sensing capabilities and super computation power in 6G
mobile communication systems has facilitated their application in diverse domains such as …

Large low earth orbit (LEO) mega-constellation systems have been designed and deployed
as a global backbone to provide ubiquitous connectivity across the world. However, due to …

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 …

Hyperbolic localization measures the time difference of arrivals (TDOAs) of signals to
determine the location of a wireless source or receiver. Traditional methods depend on …

Localization is an indispensable service for underwater sensor networks (USNs). Generally,
the convex optimization method is adopted to solve the localization problem. However, the …

The popularity of microservices in industry has sparked much attention in the research
community. Despite significant progress in microservice deployment for resource-intensive …

Fingerprint-based indoor localization methods have become an important technology
because of their wide availability, low hardware costs, and the rapidly growing demand for …

As a promising indoor localization technology, WiFi fingerprint-based localization
encounters many issues that need to be addressed urgently, such as high-overhead …

The rise of the Internet of Things has spurred the growth of wireless applications, particularly
Wi-Fi-based indoor localization, which is gaining prominence owing to its cost-effectiveness …

Due to its efficient model calibration given by unique incremental learning capability, broad
learning system (BLS) has made impressive progress in image analytical tasks such as …