A survey of measurement-based spectrum occupancy modeling for cognitive radios

Y Chen, HS Oh - IEEE Communications Surveys & Tutorials, 2014 - ieeexplore.ieee.org
Spectrum occupancy models are very useful in cognitive radio designs. They can be used to
increase spectrum sensing accuracy for more reliable operation, to remove spectrum …

Spectrum occupancy statistics and time series models for cognitive radio

Z Wang, S Salous - Journal of signal processing systems, 2011 - Springer
While dedicated spectrum occupancy monitoring provides vital information for frequency
planning and management, it usually cannot tell the common properties in spectrum …

Cooperative communication techniques for future-generation HF radios

M Uysal, MR Heidarpour - IEEE Communications Magazine, 2012 - ieeexplore.ieee.org
When Hurricane Katrina hit the Gulf Coast of the United States in 2005, it severely damaged
the telecommunications infrastructure, isolating the area from the outside world. With all the …

Modeling the interference environment in the HF band

LH Pederick, MA Cervera - Radio Science, 2016 - ieeexplore.ieee.org
The performance of systems using high frequency (HF) radio waves, such as over-the-
horizon radars (OTHR), can be strongly affected by external interferers at great distances …

HF spectral occupancy time series models over the eastern Mediterranean region

MG Mostafa, E Tsolaki… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The high frequency (HF) radio channel is highly variable and unpredictable. On the other
hand, being largely utilized around the globe, the HF spectrum is densely occupied …

24-Hour neural network congestion models for high-frequency broadcast users

H Haralambous… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
This paper presents the development of Neural Network models to predict the likelihood of
interference experienced by Broadcast users in the HF spectrum (3-30 MHz). The models …

24-h HF spectral occupancy characteristics and neural network modeling over Northern Europe

H Haralambous… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents an analysis of the characteristics of HF (1.6-30 MHz) spectral
occupancy and describes the development of neural network models to predict the …

Models of HF spectral occupancy over a sunspot cycle

LV Economou, H Haralambous, CA Pantjairos… - IEE Proceedings …, 2005 - IET
A long-term joint UK–Swedish–German project has been undertaken on the measurement
and analysis of HF spectral occupancy over northern Europe. This has resulted in an …

Time series arima model of spectrum occupancy for cognitive radio

Z Wang, S Salous - 2008 - IET
While the dedicated spectrum occupancy monitoring provides vital information for frequency
planning and management, it usually cannot tell the common properties in spectrum …

[PDF][PDF] Using neural networks for predicting the likelihood of interference to groundwave users in the HF spectrum

H Haralambous, H Papadopoulos… - spectrum, 2007 - informatik.rwth-aachen.de
This paper presents the application of Neural Networks as a means of optimising the
reliability of HF groundwave communication systems by predicting the detrimental effect of …