A survey on fundamental limits of integrated sensing and communication
The integrated sensing and communication (ISAC), in which the sensing and
communication share the same frequency band and hardware, has emerged as a key …
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 …
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 **e - 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 …
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
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 …
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
This paper presents end-to-end learning from spectrum data-an umbrella term for new
sophisticated wireless signal identification approaches in spectrum monitoring applications …
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
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 …
communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of …
Deep CM-CNN for spectrum sensing in cognitive radio
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 …
generally exploit the model-based features as the test statistic, such as energies and …
Wireless multimedia cognitive radio networks: A comprehensive survey
Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …
transmission resources. With the provision of cognitive radios (CRs), the underutilized …
Full-duplex communication in cognitive radio networks: A survey
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 …
our daily lives. Wireless networks demand more and more spectral resources to support the …
Spectrum inference in cognitive radio networks: Algorithms and applications
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 …
technique of inferring the occupied/free state of radio spectrum from already …