Zero touch management: A survey of network automation solutions for 5G and 6G networks
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Convergence of edge computing and deep learning: A comprehensive survey
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 …
massive amounts of data, and ever-increasing computing power is driving the core of …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …
UAV communications for 5G and beyond: Recent advances and future trends
Providing ubiquitous connectivity to diverse device types is the key challenge for 5G and
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
beyond 5G (B5G). Unmanned aerial vehicles (UAVs) are expected to be an important …
Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Deep reinforcement learning for Internet of Things: A comprehensive survey
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …
communication, computing, caching and control (4Cs) problems. The recent advances in …
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks
Wireless powered mobile-edge computing (MEC) has recently emerged as a promising
paradigm to enhance the data processing capability of low-power networks, such as …
paradigm to enhance the data processing capability of low-power networks, such as …
Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …
from infrastructure to social media. Such system must cope with varying load and evolving …