|
Analysis of simulation tools supporting Network Slicing in 5G networks
Kislerová, Helena ; Mašek, Pavel (oponent) ; Koláčková, Aneta (vedoucí práce)
The main goal of this bachelor thesis was to study the available network simulation tools supporting network slicing in 5G networks, their subsequent analysis and selection of the most suitable one based on this analysis. The second part of the work is focused on creating a simulation scenario in which the individual slices of the network are overloaded in some parts of the day. This scenario is then simulated and its results are evaluated at the end of the work.
|
| |
|
Integrating Real-Environment 4G and 5G Mobile Data Patterns into Network Simulations for Delay Analysis
Kolackova, Aneta ; Jerabek, Jan ; Hosek, Jiri
This article presents a simulation testbed for analyzinga mobile transport network using open-source networkingtools and protocols. The topology was designed according to the5G transport network architecture, with Segment Routing forIPv6 (SRv6) technology and The Fast Data Project Vector PacketProcessor (FD.io VPP) utilized for packet processing. The Trextraffic generator was used to simulate data transmission, andthe Docker platform enabled centralized access and managementof the topology. Real data patterns collected from one cell sitewas inserted into the created topology to create output forfuture research. The created testbed provides a valuable toolfor analyzing the mobile transport network’s performance andfuture optimizing based on needs of network slices.
|
|
Analysis of simulation tools supporting Network Slicing in 5G networks
Kislerová, Helena ; Mašek, Pavel (oponent) ; Koláčková, Aneta (vedoucí práce)
The main goal of this bachelor thesis was to study the available network simulation tools supporting network slicing in 5G networks, their subsequent analysis and selection of the most suitable one based on this analysis. The second part of the work is focused on creating a simulation scenario in which the individual slices of the network are overloaded in some parts of the day. This scenario is then simulated and its results are evaluated at the end of the work.
|
| |