[HTML][HTML] DQN-based resource allocation for NOMA-MEC-aided multi-source data stream

J Ling, J Xia, F Zhu, C Gao, S Lai… - EURASIP Journal on …, 2023 - Springer
This paper investigates a non-orthogonal multiple access (NOMA)-aided mobile edge
computing (MEC) network with multiple sources and one computing access point (CAP), in …

[HTML][HTML] Intelligent resource allocation scheme for cloud-edge-end framework aided multi-source data stream

Y Wu, C Cai, X Bi, J Xia, C Gao, Y Tang… - EURASIP Journal on …, 2023 - Springer
To support multi-source data stream generated from Internet of Things devices, edge
computing emerges as a promising computing pattern with low latency and high bandwidth …

[HTML][HTML] Intelligent computing for WPT–MEC-aided multi-source data stream

X Zheng, F Zhu, J Xia, C Gao, T Cui, S Lai - EURASIP Journal on …, 2023 - Springer
Due to its low latency and energy consumption, edge computing technology is essential in
processing multi-source data streams from intelligent devices. This article investigates a …

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] Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach

A Raza, M Ali, MK Ehsan, AH Sodhro - Sensors, 2023 - mdpi.com
The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …

Joint collaborative big spectrum data sensing and reinforcement learning based dynamic spectrum access for cognitive internet of vehicles

X Liu, C Sun, KLA Yau, C Wu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Cognitive Internet of Vehicles (CIoV) is an intelligent vehicle network envisioned to
opportunistically access spectrum licensed to primary users (PUs) on the premise of not …

A geographic routing based on local traffic density and multi-hop intersections in VANETs for intelligent traffic system in smart cities (GRBLTD-MI)

B Mehdi, S Moussaoui, G Mohamed - Wireless Networks, 2023 - Springer
The emergence of the intelligent city, in the late 2000s, was a worldwide success that has
invited itself to the national political agendas of several countries in world association of the …

[HTML][HTML] Dynamic spectrum sharing based on deep reinforcement learning in mobile communication systems

S Liu, C Pan, C Zhang, F Yang, J Song - Sensors, 2023 - mdpi.com
The rapid development of mobile communication services in recent years has resulted in a
scarcity of spectrum resources. This paper addresses the problem of multi-dimensional …

Time-varying-aware network traffic prediction via deep learning in IIoT

R Wang, Y Zhang, L Peng, G Fortino… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rise of the Industrial Internet of Things (IIoT), more and more industrial devices can
be connected via the network. Data collection, processing, analysis, task execution, and …

Queue stability and dynamic throughput maximization in multi-agent heterogeneous wireless networks

T Yang, J Sun, A Mohajer - Wireless Networks, 2024 - Springer
Abstract The Industrial Internet of Things (IIoT) envisions enhanced surveillance and control
for industrial applications through diverse IoT devices. However, the increasing …