A survey on fundamental limits of integrated sensing and communication

A Liu, Z Huang, M Li, Y Wan, W Li… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The integrated sensing and communication (ISAC), in which the sensing and
communication share the same frequency band and hardware, has emerged as a key …

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 …

LEO satellite constellation for Internet of Things

Z Qu, G Zhang, H Cao, J Xie - IEEE access, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) is one of the evolutionary directions of the Internet. This paper
focuses on the low earth orbit (LEO) satellite constellation-based IoT services for their …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

End-to-end learning from spectrum data: A deep learning approach for wireless signal identification in spectrum monitoring applications

M Kulin, T Kazaz, I Moerman, E De Poorter - IEEE access, 2018 - ieeexplore.ieee.org
This paper presents end-to-end learning from spectrum data-an umbrella term for new
sophisticated wireless signal identification approaches in spectrum monitoring applications …

A tutorial on interference exploitation via symbol-level precoding: Overview, state-of-the-art and future directions

A Li, D Spano, J Krivochiza… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Interference is traditionally viewed as a performance limiting factor in wireless
communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of …

Deep CM-CNN for spectrum sensing in cognitive radio

C Liu, J Wang, X Liu, YC Liang - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
One of the key problems in spectrum sensing is to design the test statistic. Existing methods
generally exploit the model-based features as the test statistic, such as energies and …

Wireless multimedia cognitive radio networks: A comprehensive survey

M Amjad, MH Rehmani, S Mao - … Communications Surveys & …, 2018 - ieeexplore.ieee.org
Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …

Full-duplex communication in cognitive radio networks: A survey

M Amjad, F Akhtar, MH Rehmani… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Wireless networks with their ubiquitous applications have become an indispensable part of
our daily lives. Wireless networks demand more and more spectral resources to support the …

Spectrum inference in cognitive radio networks: Algorithms and applications

G Ding, Y Jiao, J Wang, Y Zou, Q Wu… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Spectrum inference, also known as spectrum prediction in the literature, is a promising
technique of inferring the occupied/free state of radio spectrum from already …