[HTML][HTML] Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts
The fifth generation (5G) wireless communication networks are being deployed worldwide
from 2020 and more capabilities are in the process of being standardized, such as mass …
from 2020 and more capabilities are in the process of being standardized, such as mass …
Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …
succeeded in transforming numerous manual tasks and processes that had been in …
Vehicular edge computing and networking: A survey
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …
(VANET) has received remarkable interest from academia and industry. The emerging …
A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
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 …
[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
networks, generate a massive and heterogeneous amount of traffic data. In such networks …
Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions
The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …
devices is leading to the critical challenge of fulfilling diverse communication requirements …
Intelligent 5G: When cellular networks meet artificial intelligence
5G cellular networks are assumed to be the key enabler and infrastructure provider in the
ICT industry, by offering a variety of services with diverse requirements. The standardization …
ICT industry, by offering a variety of services with diverse requirements. The standardization …
Unsupervised machine learning for networking: Techniques, applications and research challenges
While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …
research, the bulk of such works has focused on supervised learning. Recently, there has …
Recent advances in applications of artificial intelligence in solid waste management: A review
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …
environmental impacts. However, the current solid waste management practices encounter …