Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

A survey on vehicular edge computing: architecture, applications, technical issues, and future directions

S Raza, S Wang, M Ahmed… - … and Mobile Computing, 2019 - Wiley Online Library
A new networking paradigm, Vehicular Edge Computing (VEC), has been introduced in
recent years to the vehicular network to augment its computing capacity. The ultimate …

AI for 5G: research directions and paradigms

X You, C Zhang, X Tan, S **, H Wu - Science China Information Sciences, 2019 - Springer
Wireless communication technologies such as fifth generation mobile networks (5G) will not
only provide an increase of 1000 times in Internet traffic in the next decade but will also offer …

Blockchain and AI technology convergence: Applications in transportation systems

P Singh, Z Elmi, Y Lau, M Borowska-Stefańska… - Vehicular …, 2022 - Elsevier
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …

Block5GIntell: Blockchain for AI-enabled 5G networks

A El Azzaoui, SK Singh, Y Pan, JH Park - IEEE Access, 2020 - ieeexplore.ieee.org
Nowadays, 5G network is considered to be one of the main pillars of various industries,
including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike …

Artificial intelligence in 5G technology: A survey

MEM Cayamcela, W Lim - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
A fully operative and efficient 5G network cannot be complete without the inclusion of
artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) …

Machine learning and the Internet of Things security: Solutions and open challenges

U Farooq, N Tariq, M Asim, T Baker… - Journal of Parallel and …, 2022 - Elsevier
Abstract Internet of Things (IoT) is a pervasively-used technology for the last few years. IoT
technologies are also responsible for intensifying various everyday smart applications …