Joint optimization of trajectory and resource allocation for time-constrained UAV-enabled cognitive radio networks

Y Pan, X Da, H Hu, Y Huang, M Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled communication has emerged as an irreplaceable
technology in military, disaster relief and emergency scenarios. This correspondence …

UAV-assisted cooperative & cognitive NOMA: Deployment, clustering, and resource allocation

S Arzykulov, A Celik, G Nauryzbayev… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has been
recognized as a promising technique to overcome spectrum scarcity and massive …

Optimization of energy efficiency in UAV-enabled cognitive IoT with short packet communication

H Hu, Y Huang, G Cheng, Q Kang… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The unmanned aerial vehicle (UAV) assisted communication can significantly improve the
coverage and spectrum efficiency of the Internet of Things (IoT). One main feature of IoT is …

Cognitive multihoming system for energy and cost aware video transmission

S Agarwal, S De - IEEE Transactions on Cognitive …, 2016 - ieeexplore.ieee.org
To alleviate the spectrum scarcity problem in the licensed cellular networks (LCNs), we
introduce a new paradigm called cognitive multihoming (CM), where a cognitive radio (CR) …

A virtual control layer resource allocation framework for heterogeneous cognitive radio network

S Wang, S Maharaj, AS Alfa - IEEE Access, 2019 - ieeexplore.ieee.org
To make best use of the various radio resources in the heterogeneous network enabled by
the software defined network or cognitive radio (CR) technology, a resource allocation …

Cross-layer resource allocation for mixed services in multiuser OFDM-based cognitive radio systems

Y Zhang, C Leung - IEEE Transactions on Vehicular …, 2009 - ieeexplore.ieee.org
We study the resource-allocation problem in a multiuser orthogonal frequency-division
multiplexing (OFDM)-based cognitive radio (CR) system using a cross-layer approach. The …

Joint resource and power allocation for clustered cognitive M2M communications underlaying cellular networks

N Alhussien, TA Gulliver - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The massive number of Machine-Type Communication Devices (MTCDs) coexisting with
Cellular User Equipment (CUE), in addition to the diverse Quality-of-Service (QoS) …

QoS provisioning and energy saving scheme for distributed cognitive radio networks using deep learning

MC Hlophe, BT Maharaj - Journal of Communications and …, 2020 - ieeexplore.ieee.org
One of the major challenges facing the realization of cognitive radios (CRs) in future mobile
and wireless communications is the issue of high energy consumption. Since future network …

[HTML][HTML] An efficient pareto optimal resource allocation scheme in cognitive radio-based internet of things networks

S Latif, S Akraam, T Karamat, MA Khan, C Altrjman… - Sensors, 2022 - mdpi.com
The high data rates detail that internet-connected devices have been increasing
exponentially. Cognitive radio (CR) is an auspicious technology used to address the …

Quantized ergodic radio resource allocation in OFDMA-based cognitive DF relay-assisted networks

N Mokari, P Azmi, H Saeedi - IEEE transactions on wireless …, 2013 - ieeexplore.ieee.org
In this paper, the downlink ergodic resource allocation (ERA) in a relay-assisted OFDMA-
based cognitive network is considered with the objective of maximizing the average …