Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
[PDF][PDF] Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks
Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …
Machine learning paradigms for next-generation wireless networks
Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …
radically new applications, which require a new wireless radio technology paradigm. The …
Machine learning for wireless communications in the Internet of Things: A comprehensive survey
Abstract The Internet of Things (IoT) is expected to require more effective and efficient
wireless communications than ever before. For this reason, techniques such as spectrum …
wireless communications than ever before. For this reason, techniques such as spectrum …
Model-aided wireless artificial intelligence: Embedding expert knowledge in deep neural networks for wireless system optimization
Deep learning based on artificial neural networks (ANNs) is a powerful machine-learning
method that, in recent years, has been successfully used to realize tasks such as image …
method that, in recent years, has been successfully used to realize tasks such as image …
Machine intelligence techniques for next-generation context-aware wireless networks
The next generation wireless networks (ie 5G and beyond), which would be extremely
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
dynamic and complex due to the ultra-dense deployment of heterogeneous networks …
Neural networks in wireless networks: Techniques, applications and guidelines
The design of modern wireless networks, which involves decision making and parameter
optimization, is quite challenging due to the highly dynamic, and often unknown …
optimization, is quite challenging due to the highly dynamic, and often unknown …
Machine learning in the air
Thanks to the recent advances in processing speed, data acquisition and storage, machine
learning (ML) is penetrating every facet of our lives, and transforming research in many …
learning (ML) is penetrating every facet of our lives, and transforming research in many …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Communication-efficient and distributed learning over wireless networks: Principles and applications
Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …