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 …
Massive MIMO detection techniques: A survey
MA Albreem, M Juntti… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …
in performance and quality of services (QoS) for next generation communication systems …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges
The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil
application domains, including real-time monitoring, providing wireless coverage, remote …
application domains, including real-time monitoring, providing wireless coverage, remote …
A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks
O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …
(B5G) wireless networks require new solutions, including the advent of more advanced …
Thirty years of machine learning: The road to Pareto-optimal wireless networks
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …
complex compelling applications both in military and civilian fields, where the users are able …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
Machine learning paradigms for next-generation wireless networks
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …
radically new applications, which require a new wireless radio technology paradigm. The …
Deep learning for wireless physical layer: Opportunities and challenges
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …
communication systems for various purposes, such as deployment of cognitive radio and …
[HTML][HTML] Cybersecurity challenges in vehicular communications
Z El-Rewini, K Sadatsharan, DF Selvaraj… - Vehicular …, 2020 - Elsevier
As modern vehicles are capable to connect to an external infrastructure and Vehicle-to-
Everything (V2X) communication technologies mature, the necessity to secure …
Everything (V2X) communication technologies mature, the necessity to secure …