6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities
We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …
user experiences, tremendously improved road safety and air quality, highly diverse …
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 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 key enabler and a leading infrastructure provider in the information and communication …
Deep reinforcement learning for user association and resource allocation in heterogeneous cellular networks
Heterogeneous cellular networks can offload the mobile traffic and reduce the deployment
costs, which have been considered to be a promising technique in the next-generation …
costs, which have been considered to be a promising technique in the next-generation …
Context-aware computing, learning, and big data in internet of things: a survey
Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
Securing the internet of things in the age of machine learning and software-defined networking
The Internet of Things (IoT) realizes a vision where billions of interconnected devices are
deployed just about everywhere, from inside our bodies to the most remote areas of the …
deployed just about everywhere, from inside our bodies to the most remote areas of the …
A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …
technique that can be utilized to provide a fully data-driven network evaluating and …
Wireless communications in the era of big data
The rapidly growing wave of wireless data service is pushing against the boundary of our
communication network's processing power. The pervasive and exponentially increasing …
communication network's processing power. The pervasive and exponentially increasing …
An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
M Ghobaei-Arani, S Jabbehdari… - Future Generation …, 2018 - Elsevier
In cloud computing environment, resources can be dynamically provisioned on deman for
cloud services The amount of the resources to be provisioned is determined during runtime …
cloud services The amount of the resources to be provisioned is determined during runtime …
CARMA: Channel-aware reinforcement learning-based multi-path adaptive routing for underwater wireless sensor networks
Routing solutions for multi-hop underwater wireless sensor networks suffer significant
performance degradation as they fail to adapt to the overwhelming dynamics of underwater …
performance degradation as they fail to adapt to the overwhelming dynamics of underwater …