With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Predictably, the upcoming six generation (6G) networks demand ultra-massive
interconnectivity comprising densely congested sustainable small-to-tiny networks. The …

With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …

The ability to accurately forecast network resource utilization is vital in next-generation
wireless networks. Based on the predicted load, telecom operators can proactively allocate …

Internet of the whole IoT primarily based totally clever issuer are gaining large recognition
due to the ever-growing needs of wi-fi networks. This needs the appraisal of the wireless …

Network performance modeling using machine learning (ML) has proven to be essential for
proactive network and service management. Dynamic changes and re-configurations in the …

With broad deployment of 5G network and pro-liferation of mobile devices, mobile network
operators are not only facing massive data growth in mobile traffic, and also observing very …

Recent exponential growth in demand for traffic heterogeneity support and the number of
associated devices has considerably increased demand for network resources and induced …

The radio frequency (RF) spectrum is a limited resource that we largely rely on in all facets of
our life and work. Making a phone call, watching TV, or using GPS, are all examples of how …