Multi-Agent Reinforcement Learning-Based Resource Allocation Scheme for UAV-Assisted Internet of Remote Things Systems

D Lee, YG Sun, SH Kim, JH Kim, Y Shin, DI Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-layered communication networks including satellites and unmanned aerial vehicles
(UAVs) with remote sensing capability are expected to be an essential part of next …

Distributed channel allocation for mobile 6g subnetworks via multi-agent deep q-learning

R Adeogun, G Berardinelli - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
Sixth generation (6G) in-X subnetworks are recently proposed as short-range low-power
radio cells for supporting localized extreme wireless connectivity inside entities such as …

Impact of node mobility on the DL based uplink and downlink MIMO-NOMA network

R Shankar, BP Chaudhary, H Mehraj, S Gupta… - International Journal of …, 2023 - Springer
This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …

DeepRAT: A DRL-based framework for multi-RAT assignment and power allocation in HetNets

A Alwarafy, BS Ciftler, M Abdallah… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Wireless heterogeneous networks (HetNets), where several systems with multi-radio access
technologies (multi-RATs) coexist for massive multi-connectivity networks, are in service …

IoT assisted machine learning model for warehouse management

L Wang, AA Hamad, V Sakthivel - Journal of Interconnection …, 2022 - World Scientific
In the digital world of today, any enterprise that deals with the amounts of data in Warehouse
Management Systems (WMS) are an important component. Furthermore, the amount of data …

Cross-layer codebook allocation for uplink SCMA and PDNOMA-SCMA video transmission systems and a deep learning-based approach

SM Tseng, WY Chen - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Sparse code multiple access (SCMA) and power-domain nonorthogonal multiple access
(PDNOMA) have been considered for use with fifth-generation (5G) and beyond mobile …

Partially cooperative scalable spectrum sensing in cognitive radio networks under SDF attacks

S Khaf, MT Alkhodary… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Massive Internet of Things (IoT) connectivity requires addressing spectrum congestion
caused by spectrum scarcity in wireless communications. Over the past decade, cognitive …

[HTML][HTML] A lightweight cell switching and traffic offloading scheme for energy optimization in ultra-dense heterogeneous networks

AI Abubakar, MS Mollel, M Ozturk, S Hussain… - Physical …, 2022 - Elsevier
One of the major capacity boosters for 5G networks is the deployment of ultra-dense
heterogeneous networks (UDHNs). However, this deployment results in a tremendous …

Netdiffus: Network traffic generation by diffusion models through time-series imaging

N Sivaroopan, D Bandara, C Madarasingha… - arXiv preprint arXiv …, 2023 - arxiv.org
Network data analytics are now at the core of almost every networking solution.
Nonetheless, limited access to networking data has been an enduring challenge due to …

[HTML][HTML] A review on principles, performance and complexity of linear estimation and detection techniques for MIMO systems

D Gaspar, LL Mendes, TC Pimenta - Frontiers in Communications and …, 2023 - frontiersin.org
The advent of the fifth generation (5G) of mobile networks has introduced several new use
cases that are pushing mobile networks in environments that are typically supported by …