There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …

The massive deployment of small cells in 5G networks represents an alternative to meet the
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …

We propose a reinforcement learning-based cell switching algorithm to minimize the energy
consumption in ultra-dense deployments without compromising the quality of service (QoS) …

A paramount challenge of prohibiting increased CO2 emissions for network densification is
to deliver the Fifth Generation (5G) cellular capacity and connectivity demands, while …

One of the major capacity boosters for 5G networks is the deployment of ultra-dense
heterogeneous networks (UDHNs). However, this deployment results in a tremendous …

Smart city planning is envisaged as advance technology based independent and
autonomous environment enabled by optimal utilisation of resources to meet the short and …

Energy cost accounts for a large portion of expenses when operating a cellular mobile
network, and it is expected to increase further to support advanced communication features …

The constant surge in the traffic demand on cellular networks has led to continuous
expansion in network capacity in order to accommodate existing and new service demands …

This thesis presents a comprehensive study of cognitive networking for cellular networks
with contributions that enable them to be more dynamic, agile, and efficient. To achieve this …

Most online cell switching solutions are sub-optimal because they are computationally
demanding, and thus adapt slowly to a dynamically changing network environments …