Intelligent load balance in mobile networks

OData support
Supervisor:
Dr. Varga Pál
Department of Telecommunications and Media Informatics

As a proper start for this Thesis project, I made a short literary overview about the trends of the IP forwarding, especially on the growth of the mobile data traffic. I showed the current technologies of mobile data transport, and the new, spreading techniques, especially those used at LTE/4G systems. I studied the patterns of the mobile data traffic, from more than one point of view, by reviewing the current literature of the topic.

Load-balancing is a very significant part of the data transfer technologies, since the beginning. In this Thesis, I presented the most used technologies in the mobile network, and pointed out their weaknesses. I summarized, and examined solutions, which can dynamically adapt to the network load changes, and are able to eliminate the weaknesses of the current load-balancing methods. Based on a example, where the current methods are not working perfectly, I made suggestions, how it should work in a better way.

I this Thesis I recommend a solution on these weaknesses, based on GTP (GPRS Tunneling Protocol), planning its development process. I set up a test environment using Ericsson MINI-LINK Traffic Nodes for testing and development purposes. I tested the efficiency of the solution on these devices, documenting the measurements. As a result of my development, a new prototype has made, which enables the Traffic Node to achieve a better load-balancing efficiency, considering the examined conditions.

To summarize my thesis, I presented some possibilities for improvement, based on SDN (Software Defined Network).

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