AI models for green communications towards 6G
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …
Transforming large-size to lightweight deep neural networks for IoT applications
Deep Neural Networks (DNNs) have gained unprecedented popularity due to their high-
order performance and automated feature extraction capability. This has encouraged …
order performance and automated feature extraction capability. This has encouraged …
Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks
Network slicing is a key technology to support the concurrent provisioning of heterogeneous
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …
A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …
computation and communication technologies. This breed of ad hoc networks leverages …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
A review of machine learning techniques for enhanced energy efficient 5G and 6G communications
TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …
True-data testbed for 5G/B5G intelligent network
Future beyond fifth-generation (B5G) and sixth-generation (6G) mobile communications will
shift from facilitating interpersonal communications to supporting internet of everything (IoE) …
shift from facilitating interpersonal communications to supporting internet of everything (IoE) …
Situation-aware resource allocation for multi-dimensional intelligent multiple access: A proactive deep learning framework
To meet the ever-increasing communication services with diverse requirements, situation-
aware intelligent utilization of multi-dimensional communication resources is becoming …
aware intelligent utilization of multi-dimensional communication resources is becoming …
3D uplink channel modeling of UAV-based mmWave fronthaul links for future small cell networks
In this study, we consider an unmanned aerial vehicle (UAV)-assisted heterogeneous
network that is offered as a cost effective and easy to deploy solution to solve the problem …
network that is offered as a cost effective and easy to deploy solution to solve the problem …