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Non-deterministic Voice-traffic Management through Auctions

MA
State: completed by Robert Erdin

The key importance of the network traffic analysis, and management is indisputably one of the primary techniques that networks administrators are using in order to assure network’s performance, availability and efficiency. However, due to each network’s characteristics, such as the type of service, and the particularities of their user base, this task is neither trivial, nor easy to apply universal solutions for any type of network. 

In this work we focus on the Mobile Networks Operators (MNOs). Each time that a caller places a call to a subscriber that belongs to a different than the caller’s network, once the call exits the border of the caller’s network operator infrastructure, the call need to be delivered to the callee by his network operator. The procedure of the call delivery is termed Call Termination Service (CTS). Nowadays the CTS consider being a monopoly since the callee defines the network operator that will terminate his calls once the contract between them is established. This monopoly leads to considerably high charges per call by the network operators.

However, a novel Auction-based Charging and User-centric System (AbaCUS) claim that the monopoly obstacle could be overcome on the mobile networks. In the AbaCUS-moderated charging environment for mobile networks, the caller will be able to influent the final price of the call. Furthermore, the Quality of Service (QoS) level of the CTS is under negotiation on the AbaCUS. The student will work on that novel approach evaluation considering the caller benefits, as well as the system affects for the MNOs. Some of the aspects to be examined are the MNOs revenue, the MNOs traffic, the social welfare, etc. In more detail the student will focus on an auction mechanism that optimize the above parameters among other metrics.

The Student should be familiar with the keystones of functional programming. After the completeness of this work, the student will have strong experience in modeling, developing and evaluating non-deterministic traffic evolution in mobile networks. Furthermore, after the completeness of the task, the student will consider have a strong backgroung in auctions and MATLAB developping.

Final Report

60% Design, 15% Implementation, 25% Documentation
It is desirable, however not mandatory, that the student has some MATLAB programming experience. Finally, the student should have good knowledge and interest on algorithms design and economics.

Supervisors: Prof. Dr. Burkhard Stiller, Patrick Poullie, Christos Tsiaras

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