… efficiency in emerging and future cellular networks. Together, … leveraged for choosing optimal
machine learning models for … advanced mobility management framework called Advanced …

… Network Model We present the network model of a joint V2I and V2V communication system
… the ubiquitous coverage can be achieved through cellular networks, ie BS, as shown in Fig. …

… Now we will present some of the research work done on specific machine learning … This
article provides an extensive survey of mobility management for future cellular networks. As …

… To date, a plethora of research studies analyzed the mobility-based handoff performance
in cellular networks via either computer simulations or numerical optimization algorithms. Self-…

… propose a cognitive cellular network (CCN) … cellular networks are introduced in section III.
Also, Section III characterizes the execution of SON functions in the mobility robust optimization …

… network scenarios. This paper aims to provide theoretical foundations for machine learning
and the leading models … for offloading mobile edge-computing decisions based on machine …

… -hop ad hoc mobile networks, which has been regarded by the award committees as the
theoretical foundation for analytical evaluation techniques of future ad hoc mobile networks. He …

… machine intelligence into future mobile networks is drawing unparalleled research interest
[6], [7]. This trend is reflected in machine learning (ML) based … new in the mobile networking …

… will be available in the future. Figure 1 shows a general 5G cellular network architecture and
the … The state machine of universal mobile telecommunication system (UMTS) technology …

… such as vehicular networks, small cell networks and cloud radio access … mobility prediction,
handover parameter optimization, and so on. In this section, machine learning based mobility …