Abstract
The interference in adjacent cells and the control of the boundaries have being vastly investigated since the conception of the first cell phone networks. A very large number of small cells are required for new 5G mobile networks, and therefore it is even more important to determine the correct mobile station positioning as well as the control boundaries. In order to minimize these problems, this paper proposes a simple and efficient system that improves the control of the Mobile Management Entity (MME) defined in the Release 8 of 3GPP. The system uses a tracking arrangement capable of determining the direction of the mobile station in the cell area. This information can be used to predict handover between adjacent nodes (changing of cell) minimizing a great problem, the high traffic in the backhaul network. In order to reach these goals, two or more receiver antennas are used as a Radio Direction Finder (RDF) and phase controlled directional antennas or massive multiple-input and multiple-output antennas pointing to different irradiation channels towards different directions. The theoretical section developed in this study was successfully confirmed by the experimental setup with results very closed to the developed formulation.
Highlights
In the last few decades communication systems have evolved from fixed-lines to incredible mobile data communication
It is expected that the number of mobile connections will grow significantly, due to the fast growth of wireless consumers and the new concept based on the Internet of Things (IoT) [3]-[6]
SUMMARY AND CONCLUSIONS This paper proposed a new concept that improves the management capacity of the Mobile Management Entity described in the Release 8 of 3rd Generation Partnership Project (3GPP)
Summary
In the last few decades communication systems have evolved from fixed-lines to incredible mobile data communication. Habbal et al in [16] show that an efficient RAT (Radio Access Technology) selection mechanism in ultra-dense networks is required They proposed a new mechanism for RAT selection to be applied in Ultra-dense Networks and proved that it reduces the number of handovers and it is less susceptible to abnormalities. Based on this new scenario and studying current networks, this paper proposes a technique to increase the management capacity, reduce the backhaul traffic and reduce interference between cells.
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