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Advances on spectrum sensing for cognitive radio networks: Theory and applications
A Ali, W Hamouda - IEEE communications surveys & tutorials, 2016 - ieeexplore.ieee.org
Due to the under-utilization problem of the allocated radio spectrum, cognitive radio (CR)
communications have recently emerged as a reliable and effective solution. Among various …
communications have recently emerged as a reliable and effective solution. Among various …
Engineering radio maps for wireless resource management
The term'radio map'in general refers to the geographical signal power spectrum density,
formed by the superposition of concurrent wireless transmissions, as a function of location …
formed by the superposition of concurrent wireless transmissions, as a function of location …
Deep spectrum cartography: Completing radio map tensors using learned neural models
The spectrum cartography (SC) technique constructs multi-domain (eg, frequency, space,
and time) radio frequency (RF) maps from limited measurements, which can be viewed as …
and time) radio frequency (RF) maps from limited measurements, which can be viewed as …
Compressive covariance sensing: Structure-based compressive sensing beyond sparsity
Compressed sensing deals with the reconstruction of signals from sub-Nyquist samples by
exploiting the sparsity of their projections onto known subspaces. In contrast, this article is …
exploiting the sparsity of their projections onto known subspaces. In contrast, this article is …
Learning power spectrum maps from quantized power measurements
Power spectral density (PSD) maps providing the distribution of RF power across space and
frequency are constructed using power measurements collected by a network of low-cost …
frequency are constructed using power measurements collected by a network of low-cost …
A software-defined sensor architecture for large-scale wideband spectrum monitoring
Today's spectrum measurements are mainly performed by governmental agencies which
drive around using expensive specialized hardware. The idea of crowdsourcing spectrum …
drive around using expensive specialized hardware. The idea of crowdsourcing spectrum …
Quantized radio map estimation using tensor and deep generative models
Spectrum cartography (SC), also known as radio map estimation (RME), aims at crafting
multi-domain (eg, frequency and space) radio power propagation maps from limited sensor …
multi-domain (eg, frequency and space) radio power propagation maps from limited sensor …
[BOEK][B] Spectrum sensing for cognitive radio: Fundamentals and applications
KM Captain, MV Joshi - 2021 - taylorfrancis.com
This comprehensive reference text discusses concepts of cognitive radio and the advances
in the field of spectrum sensing. This text discusses the concept of cognitive radio for next …
in the field of spectrum sensing. This text discusses the concept of cognitive radio for next …
Radio map assisted multi-UAV target searching
When acting as dynamic receivers, unmanned aerial vehicles (UAVs) have several
advantages over the conventional static base stations for received signal strength (RSS) …
advantages over the conventional static base stations for received signal strength (RSS) …
Quantized spectral compressed sensing: Cramer–Rao bounds and recovery algorithms
Efficient estimation of wideband spectrum is of great importance for applications such as
cognitive radio. Recently, sub-Nyquist sampling schemes based on compressed sensing …
cognitive radio. Recently, sub-Nyquist sampling schemes based on compressed sensing …