Performance comparison of cognitive radio sensor networks for industrial IoT with different deployment patterns

W Li, C Zhu, VCM Leung, LT Yang… - IEEE Systems Journal, 2015 - ieeexplore.ieee.org
Square lattice (SL), triangle lattice (TL), and hexagon lattice (HL) are widely used regular
deployment patterns for industrial Internet of Things (IoT). However, the performance of …

Throughput analysis and optimization of sensing-based cognitive radio systems with Markovian traffic

G Noh, J Lee, H Wang, S Kim, S Choi… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
This paper analyzes the secondary user throughput of a sensing-based cognitive radio
system with Markovian traffic. Under the Markovian traffic assumption, imperfect packet …

A tutorial on joint radar and communication transmission for vehicular networks—Part III: Predictive beamforming without state models

F Liu, C Masouros - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
In Part I and II of this three-part tutorial on dual-functional radar-communication (DFRC)
design for vehicular networks, we overviewed the basics of radar and communication …

A Novel Joint Spectrum Sensing and Resource Allocation Scheme in Cognitive Internet of Vehicles Networks

G Chen, H Zhu, Y Xu, T Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Vehicles (IoV), the cognitive radio-based IoV
(CIoV) network is widely used to overcome the lack of spectrum resources. In this paper, a …

Smart radios for smart vehicles: Cognitive vehicular networks

M Di Felice, R Doost-Mohammady… - IEEE Vehicular …, 2012 - ieeexplore.ieee.org
The recent strides made in vehicular networks have enabled a new class of in-car
entertainment systems and enhanced the ability of emergency responders using …

Improving detection delay in cognitive radios using secondary-user receiver statistics

M Orooji, E Soltanmohammadi… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In-band spectrum sensing (SS) requires that secondary users (SUs) periodically interrupt
their communication to detect the emergence of the primary users (PUs) in the channel. A …

CRAVE: Cognitive radio enabled vehicular communications in heterogeneous networks

DB Rawat, Y Zhao, G Yan… - 2013 IEEE Radio and …, 2013 - ieeexplore.ieee.org
In this paper, we investigate CRAVE: Cognitive RAdio enabled VEhicular communication in
heterogeneous wireless systems. Vehicular users are considered as unlicensed/secondary …

Cognitive vehicular networks: An overview

FBS de Carvalho, WTA Lopes, MS Alencar… - Procedia Computer …, 2015 - Elsevier
Cognitive Radio (CR) is extending the applications of wireless communications worldwide.
Cognitive radio verifies the electromagnetic spectrum availability and permits the …

3D spatial–temporal spectrum sensing and sharing for cognitive UAV networks

Y Tan, L Du, Y Chen - Physical Communication, 2023 - Elsevier
Unmanned aerial vehicle (UAV) enabled wireless communication networks have attracted
significant research attention. With no dedicated spectrum allocated to UAV …

LSTM-based channel access scheme for vehicles in cognitive vehicular networks with multi-agent settings

TD Le, G Kaddoum - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we study the channel access problem of vehicles in a cognitive radio vehicular
network, where each vehicle opportunistically accesses the channel resources of the …