In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
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 …
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 …
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 …
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 …
Fueled by the availability of more data and computing power, recent breakthroughs in cloud- based machine learning (ML) have transformed every aspect of our lives from face …
The next-generation wireless networks are evolving into very complex systems because of the very diversified service requirements, heterogeneity in applications, devices, and …
An expected plethora of demanding services and use cases mandates a revolutionary shift in the way future wireless network resources are managed. Indeed, when application …
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless …