Twelve scientific challenges for 6G: Rethinking the foundations of communications theory

M Chafii, L Bariah, S Muhaidat… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The research in the sixth generation of wireless networks needs to tackle new challenges in
order to meet the requirements of emerging applications in terms of high data rate, low …

[PDF][PDF] A review on spectrum sensing for cognitive radio: challenges and solutions

Y Zeng, YC Liang, AT Hoang, R Zhang - EURASIP journal on advances in …, 2010 - Springer
Cognitive radio is widely expected to be the next Big Bang in wireless communications.
Spectrum sensing, that is, detecting the presence of the primary users in a licensed …

On the performance of eigenvalue-based cooperative spectrum sensing for cognitive radio

A Kortun, T Ratnarajah, M Sellathurai… - IEEE Journal of …, 2010 - ieeexplore.ieee.org
In this paper, the distribution of the ratio of extreme eigenvalues of a complex Wishart matrix
is studied in order to calculate the exact decision threshold as a function of the desired …

A comparative study of spectrum awareness techniques for cognitive radio oriented wireless networks

R Umar, AUH Sheikh - Physical Communication, 2013 - Elsevier
Spectrum scarcity is impeding practical implementations of emerging wireless multimedia
applications requiring significantly more frequency spectrum. Cognitive radio (CR) has …

Coalition formation games for collaborative spectrum sensing

W Saad, Z Han, T Basar, M Debbah… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Collaborative spectrum sensing (CSS) between secondary users (SUs) in cognitive
networks exhibits an inherent tradeoff between minimizing the probability of missing the …

[LIBRO][B] Cognitive radio communication and networking: Principles and practice

RC Qiu, Z Hu, H Li, MC Wicks - 2012 - books.google.com
The author presents a unified treatment of this highly interdisciplinary topic to help define the
notion of cognitive radio. The book begins with addressing issues such as the fundamental …

Asymptotics of eigenstructure of sample correlation matrices for high-dimensional spiked models

D Morales-Jimenez, IM Johnstone, MR McKay… - Statistica …, 2021 - pmc.ncbi.nlm.nih.gov
Sample correlation matrices are widely used, but for high-dimensional data little is known
about their spectral properties beyond “null models”, which assume the data have …

Robust estimates of covariance matrices in the large dimensional regime

R Couillet, F Pascal… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper studies the limiting behavior of a class of robust population covariance matrix
estimators, originally due to Maronna in 1976, in the regime where both the number of …

On the performance of covariance based spectrum sensing for cognitive radio

M **, Y Li, HG Ryu - IEEE transactions on signal processing, 2012 - ieeexplore.ieee.org
In this paper, the distribution of the test-statistic for the covariance based detection (CBD) is
studied in order to obtain the mathematical expressions of false alarm probability (Pf) and …

Blind detection for primary user based on the sample covariance matrix in cognitive radio

X Yang, K Lei, S Peng, X Cao - IEEE Communications Letters, 2010 - ieeexplore.ieee.org
In this letter, a new blind sensing method based on the Cholesky factorization of the sample
covariance matrix is presented for cognitive radios (CR). The proposed method overcomes …