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 …
Application of machine learning in wireless networks: Key techniques and open issues
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …
solving complex problems without explicit programming. Motivated by its successful …
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 …
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 …
Multi-agent reinforcement learning-based resource allocation for UAV networks
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for
providing both cost-effective and on-demand wireless communications. This article …
providing both cost-effective and on-demand wireless communications. This article …
A survey of machine learning for big data processing
There is no doubt that big data are now rapidly expanding in all science and engineering
domains. While the potential of these massive data is undoubtedly significant, fully making …
domains. While the potential of these massive data is undoubtedly significant, fully making …
Trajectory design and power control for multi-UAV assisted wireless networks: A machine learning approach
A novel framework is proposed for the trajectory design of multiple unmanned aerial
vehicles (UAVs) based on the prediction of users' mobility information. The problem ofjoint …
vehicles (UAVs) based on the prediction of users' mobility information. The problem ofjoint …
Reinforcement learning in multiple-UAV networks: Deployment and movement design
A novel framework is proposed for quality of experience driven deployment and dynamic
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
movement of multiple unmanned aerial vehicles (UAVs). The problem of joint non-convex …
A survey on machine-learning techniques in cognitive radios
In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …
state the importance of artificial intelligence in achieving real cognitive communications …
Decision making in multiagent systems: A survey
Y Rizk, M Awad, EW Tunstel - IEEE Transactions on Cognitive …, 2018 - ieeexplore.ieee.org
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …