Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

[HTML][HTML] From cyber–physical convergence to digital twins: A review on edge computing use case designs

MC Hlophe, BT Maharaj - Applied Sciences, 2023 - mdpi.com
As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting …

[PDF][PDF] Optimization of power consumption in data centers using machine learning based approaches: a review

R Kumar, SK Khatri, MJ Diván - International Journal of Electrical …, 2022 - academia.edu
Data center hosting is in higher demand to fulfill the computing and storage requirements of
information technology (IT) and cloud services platforms which need more electricity to …

Performance analysis of a VM-PM repair strategy in MEC-enabled wireless systems with bursty traffic

Y Wang, X Han, S Jin - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
With the rapid development of wireless communication technology, Internet of Things (IoT) is
more widely used in diverse application domains, hence bringing massive timely and bursty …

Reinforcement-Learning-Based optimization on energy efficiency in UAV networks for IoT

D Deng, J Li, RH Jhaveri, P Tiwari… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The combination of nonorthogonal multiplex access and unmanned aerial vehicles (UAVs)
can improve the energy efficiency (EE) for Internet of Things (IoT). On the condition of …

Access and radio resource management for IAB networks using deep reinforcement learning

MM Sande, MC Hlophe, BT Maharaj - IEEE Access, 2021 - ieeexplore.ieee.org
Congestion in dense traffic networks is a prominent obstacle towards realizing the
performance requirements of 5G new radio. Since traditional adaptive traffic signal control …

[HTML][HTML] Research on predictive control of energy saving for central heating based on echo state network

L Liu, J Liu, Z Chen, Z Jiang, M Pang, Y Miao - Energy Reports, 2023 - Elsevier
It is very important for energy conservation and environmental protection to realize energy-
saving control of central heating system by prediction method. In this paper, the system …

AI meets CRNs: A prospective review on the application of deep architectures in spectrum management

MC Hlophe, BT Maharaj - IEEE Access, 2021 - ieeexplore.ieee.org
The spectrum low utilization and high demand conundrum created a bottleneck towards
fulfilling the requirements of next-generation networks. The cognitive radio (CR) technology …

Joint UAV trajectory and power allocation optimization for NOMA in cognitive radio network

D Deng, M Zhu - Physical Communication, 2021 - Elsevier
The joint unmanned aerial vehicle (UAV) trajectory and power allocation optimization for
Non-orthogonal multiplex access (NOMA) protocol in cognitive radio network is investigated …

Energy-efficient transmissions in federated learning-assisted cognitive radio networks

MC Hlophe, BT Maharaj… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
The estimation of critical parameters and catching the relationship between allocated
resources, link reliability, and transmission latency to save communication resources for …