A survey of recent advances in edge-computing-powered artificial intelligence of things
Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
multitude of wired and wireless sensors generating a variety of heterogeneous data over …
Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
Survey on machine learning for intelligent end-to-end communication toward 6G: From network access, routing to traffic control and streaming adaption
The end-to-end quality of service (QoS) and quality of experience (QoE) guarantee is quite
important for network optimization. The current 5G and conceived 6G network in the future …
important for network optimization. The current 5G and conceived 6G network in the future …
A comprehensive survey on radio resource management in 5G HetNets: Current solutions, future trends and open issues
The 5G network technologies are intended to accommodate innovative services with a large
influx of data traffic with lower energy consumption and increased quality of service and user …
influx of data traffic with lower energy consumption and increased quality of service and user …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
A deep reinforcement learning-based dynamic traffic offloading in space-air-ground integrated networks (SAGIN)
Space-Air-Ground Integrated Networks (SAGIN) is considered as the key structure of the
next generation network. The space satellites and air nodes are the potential candidates to …
next generation network. The space satellites and air nodes are the potential candidates to …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
An overview of reinforcement learning algorithms for handover management in 5G ultra-dense small cell networks
The fifth generation (5G) wireless technology emerged with marvelous effort to state, design,
deployment and standardize the upcoming wireless network generation. Artificial …
deployment and standardize the upcoming wireless network generation. Artificial …
A comprehensive survey on full-duplex communication: Current solutions, future trends, and open issues
M Mohammadi, Z Mobini… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Full-duplex (FD) communication is a potential game changer for future wireless networks. It
allows for simultaneous transmit and receive operations over the same frequency band, a …
allows for simultaneous transmit and receive operations over the same frequency band, a …
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …
services is being widely studied and a hot topic for the latest research works in the literature …