Current communication networks use design methodologies that prevent the realization of
maximum network efficiency. In the first place, while users' perception of satisfactory service …

The design and optimization of wireless networks have mostly been based on strong
mathematical and theoretical modeling. Nonetheless, as novel applications emerge in the …

It is envisioned that wireless networks of the future will support personalized, fine-grained
services and decisions by predicting user satisfaction in real-time using machine learning …

With the emergence of a variety of new wireless network types, business types, and QoS in a
more autonomic, diverse, and interactive manner, it is envisioned that a new era of …

Mobile communication standards were developed for enhancing transmission and network
performance by using more radio resources and improving spectrum and energy efficiency …

Big data analytics applied to signaling, traffic, and wireless environment data in mobile
communication networks can help realize autonomous network optimization and build big …

Abstract In HetNets (Heterogeneous Networks), each network is allocated with fixed
spectrum resource and provides service to its assigned users using specific RAT (Radio …

The next-generation wireless networks are evolving into very complex systems because of
the very diversified service requirements, heterogeneity in applications, devices, and …

The concept of using big data (BD) for wireless communication network optimization is no
longer new. However, previous work has primarily focused on long-term policies in the …

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 …