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 …

Engineering radio maps for wireless resource management

S Bi, J Lyu, Z Ding, R Zhang - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
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 …

Deep spectrum cartography: Completing radio map tensors using learned neural models

S Shrestha, X Fu, M Hong - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
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 …

Compressive covariance sensing: Structure-based compressive sensing beyond sparsity

D Romero, DD Ariananda, Z Tian… - IEEE signal processing …, 2015 - ieeexplore.ieee.org
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 …

Learning power spectrum maps from quantized power measurements

D Romero, SJ Kim, GB Giannakis… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
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 …

A software-defined sensor architecture for large-scale wideband spectrum monitoring

D Pfammatter, D Giustiniano, V Lenders - Proceedings of the 14th …, 2015 - dl.acm.org
Today's spectrum measurements are mainly performed by governmental agencies which
drive around using expensive specialized hardware. The idea of crowdsourcing spectrum …

Quantized radio map estimation using tensor and deep generative models

S Timilsina, S Shrestha, X Fu - IEEE Transactions on Signal …, 2023 - ieeexplore.ieee.org
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 …

[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 …

Radio map assisted multi-UAV target searching

C He, Y Dong, ZJ Wang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
When acting as dynamic receivers, unmanned aerial vehicles (UAVs) have several
advantages over the conventional static base stations for received signal strength (RSS) …

Quantized spectral compressed sensing: Cramer–Rao bounds and recovery algorithms

H Fu, Y Chi - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
Efficient estimation of wideband spectrum is of great importance for applications such as
cognitive radio. Recently, sub-Nyquist sampling schemes based on compressed sensing …