The spectrum cartography finds applications in several areas such as cognitive radios,
spectrum aware communications, machine-type communications, Internet of Things …

Radio maps find numerous applications in wireless communications and mobile robotics
tasks, including resource allocation, interference coordination, and mission planning …

Radio maps provide radio frequency metrics, such as the received signal strength, at every
location of a geographic area. These maps, which are estimated using a set of …

This paper presents a framework for spectrum cartography based on the use of adaptive
Gaussian radial basis functions (RBF) centered around a specific number of centroid …

The class of complex random vectors whose covariance matrix is linearly parameterized by
a basis of Hermitian Toeplitz (HT) matrices is considered, and the maximum compression …

Detection and tracking of objects in wireless sensor networks (WSN) is one of the active
research areas in the signal processing community, where device-free localization (DFL) …

Radio maps are emerging as a popular means to endow next-generation wireless
communications with situational awareness. In particular, radio maps are expected to play a …

An online spectrum cartography algorithm is proposed to reconstruct power spectral density
(PSD) maps in space and frequency based on compressed and quantized sensor …

Spectrum maps represent the spatial distribution of signal strength in a particular area and
are necessary in spectrum management applications such as frequency reuse and …

Sensor deployment and spectrum data completion are two critical stages in radio map
construction, which are intricately linked and jointly influence both efficiency and …