AI-enabled reliable QoS in multi-RAT wireless IoT networks: prospects, challenges, and future directions
K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
Access point clustering in cell-free massive MIMO using conventional and federated multi-agent reinforcement learning
B Banerjee, RC Elliott, WA Krzymieñ… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cell-free massive multiple-input multiple-output (MIMO) systems consist of geographically-
distributed multi-antenna access points (APs) that form a virtual massive MIMO array. To …
distributed multi-antenna access points (APs) that form a virtual massive MIMO array. To …
Learning-based adaptive sliding-window RLNC for high bandwidth-delay product networks
Sliding-window random linear network coding (RLNC) is a good fit for achieving low in-order
delivery delay in future-generation networks characterized by lossy links. In high bandwidth …
delivery delay in future-generation networks characterized by lossy links. In high bandwidth …
A Survey on Resource Management in Joint Communication and Computing-Embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
Cyber security for federated learning environment using AI technique
H J. Alyamani - Expert Systems, 2023 - Wiley Online Library
A cyber‐security threat in the Android environment is seen as malicious code. Due to the
rapid development of Android malware deployments, manually detecting malicious apps …
rapid development of Android malware deployments, manually detecting malicious apps …
KeyLight: Intelligent Traffic Signal Control Method Based on Improved Graph Neural Network
Y Sun, K Lin, AK Bashir - IEEE Transactions on Consumer …, 2023 - ieeexplore.ieee.org
Graph neural network combined with reinforcement learning is one of the most effective
traffic signal control methods. However, existing methods fail to pay enough attention to the …
traffic signal control methods. However, existing methods fail to pay enough attention to the …
Novel Listen-Before-Talk Access Scheme with Adaptive Backoff Procedure for Uplink Centric Broadband Communication
To cater for the data-hungry Internet of Things (IoT) applications, uplink centric broadband
communication (UCBC) has been identified as a new service class in the vision of 5.5 G …
communication (UCBC) has been identified as a new service class in the vision of 5.5 G …
Data-Driven Techniques and Security Issues in Wireless Networks
The data-Driven Technique is a method that employs real-world data to acquire insight into
system behavior. It allows for the examination of small, simple systems as well as large …
system behavior. It allows for the examination of small, simple systems as well as large …
Analysis of Unmanned Aerial Vehicle-Assisted Cellular Vehicle-to-Everything Communication Using Markovian Game in a Federated Learning Environment
X Fernando, A Gupta - Drones, 2024 - mdpi.com
The paper studies a game theory model to ensure fairness and improve the communication
efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C …
efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C …
Stable matching assisted resource allocation in fog computing based IoT networks
AS Alfakeeh, MA Javed - Mathematics, 2023 - mdpi.com
Future Internet of Things (IoT) will be a connected network of sensors enabling applications
such as industrial automation and autonomous driving. To manage such a large number of …
such as industrial automation and autonomous driving. To manage such a large number of …