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 …
Enabling joint communication and radar sensing in mobile networks—A survey
Mobile network is evolving from a communication-only network towards one with joint
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …
communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile …
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 …
Vehicular intelligence in 6G: Networking, communications, and computing
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …
predict that 6G will be the key driving force for information interaction and social life after …
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 …
Data-driven deep learning to design pilot and channel estimator for massive MIMO
X Ma, Z Gao - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
In this paper, we propose a data-driven deep learning (DL) approach to jointly design the
pilot signals and channel estimator for wideband massive multiple-input multiple-output …
pilot signals and channel estimator for wideband massive multiple-input multiple-output …
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 …
BrainIoT: Brain-like productive services provisioning with federated learning in industrial IoT
H Yang, J Yuan, C Li, G Zhao, Z Sun… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) accommodates a huge number of heterogeneous
devices to bring vast services under a distributed computing scenarios. Most productive …
devices to bring vast services under a distributed computing scenarios. Most productive …
Improving TCP performance over WiFi for internet of vehicles: A federated learning approach
SR Pokhrel, J Choi - IEEE transactions on vehicular technology, 2020 - ieeexplore.ieee.org
We propose a novel communication efficient and privacy preserving federated learning
framework for enhancing the performance of Internet of Vehicles (IoV), wherein on-vehicle …
framework for enhancing the performance of Internet of Vehicles (IoV), wherein on-vehicle …
Interval type-2 fuzzy hierarchical adaptive cruise following-control for intelligent vehicles
Intelligent vehicles can effectively improve traffic congestion and road traffic safety. Adaptive
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …