Analytical and Experimental Evaluation of a Novel Mechanism to Improve the Control Plane in Next-Generation Mobile Networks

Abstract

With the continuous development of mobile communications and the Internet of Things technology, the enhanced network performance can be seen as one of the major challenges in the fourth industrial revolution context, where new services and applications with strict performance requirements have emerged, such as driverless vehicles, smart cities, factories, and manufacturing, among others. These new services and applications also drive growth of the data traffic, which is increasing exponentially. Thus, in mobile network environments, industry and academia are proposing new mechanisms to overcome the traffic bottlenecks and reduce the signaling overhead that affects current networks. Centralized Mobility Management solutions are prone to several problems such as the aforementioned signaling overhead or scalability issues. To overcome these limitations, Distributed Mobility Management approaches are being considered. In this paper, an analytical cost model and experimental evaluation will be developed for evaluating the performance of the Distributed Mobility Management implementations. Furthermore, a new approach will be proposed to improve network performance.

A study of routing-based distributed mobility management in supporting seamless data transmission in smart cities

“…Thus, each AR implements both LMA (i.e., responsible for anchoring and routing the local data traffic for each MN) and MAG (i.e., responsible for receiving the data traffic of the MNs through tunneling operations) functionalities. The model deploys a centralized control plane that is managed by the mobility management entity (MME), which is responsible for managing the mobility sessions of the MNs [16]. The data plane, on the other hand, is distributed and managed by the corresponding gateways.…”

The Construction Method of Historical Geographic Information System Based on Mobile Network

“…It calculates the completeness of information in two historical geographic information systems constructed based on different methods. e next step is the last step of this experiment: this paper compares the information integrity of the historical geographic information system constructed based on the traditional method with the information integrity of the historical geographic information system constructed based on the mobile network technology [20]. It is shown in Figure 10.…”