Handover Optimization Among Multiple Radio Technologies

OData support
Supervisor:
Dr. Cinkler Tibor
Department of Telecommunications and Media Informatics

Because of the computer network’s explosion-like development a big number of users communicate

at the same time. The data traffic could be easier and smoother, if it would be

fixed in space and constant in time. However neither of these conditions are guaranteed.

Due to the spacial movement we require wireless connections. At the section 2 we present

a review about these networks, among others we discuss Wi-Fi, LTE and 5G, and moreover

we explain the traffic’s handover among different channels, namely the origin and the

different forms.

The traffic created in the network is dynamically changing in time. We should scale our

network according to the users. We can model the in-time changing processes with difference

equation systems, whose parameters depend on the users’ habit and on their download

rate. From the engineering point of view it is important to set our network to the required

reference value, so we would like to stabilize and control. For this purpose we explain the

mathematical background at section 3. One known model from the literature is reviewed

and generalized at section 4. However, this model is not fully capable of describing a real

life process, thus we created our new, own model. We explain at section 5, how to design

a network with the help of this model. Obviously because of the parameters’ estimation

value it may occur that the system will be overloaded. There are a lot of solutions to avoid

this. On one hand it is possible to stabilize our network to the required reference rate,

so that those users who cause the overload will be removed. However, this is not a user

friendly solution, that is why at section 6 we implement a new device for this problem.

This is the so called CAPEX-OPEX design.

Since in real life the connections are established with some kind of delay, we need to study

them. This is described at section 7, where in our previous stable network’s latency are

grown, thus bigger and bigger vibrations are generated that causes the network’s overload.

Thus during the design phase, the devices’ ad-hoc way implementation is not possible, so

we need to estimate the parameters as exactly as we can. It is required to be prepared for

a potential overload’s optimal management, and we should count with the real life process’

latency. We preformed these kind of investigations in this thesis with the help of our model,

furthermore we performed simulations with our program written in Wolfram Mathematica.

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