With the upcoming release of the fifth generation of cellular networks, 5G, it is expected to be a lot more connected devices. As a consequence, the importance of the capacity of the networks is increased, especially the radio access network (RAN), which will be changed a lot from previous generations. The best method to ensure a RAN has enough capacity for its targeted area is a simulation, and therefore, there is a demand for such a simulator. The development of a simulator for RAN started last year in another thesis with the possibility to model nodes, links, and set loads. In this thesis, the functionality is extended with the addition of mobility and user equipment (UE) to create load to more accurately simulate the network traffic. Roads are added as an entity to allow mobility, and cells are modeled to determine coverage. Most requested functionality was implemented, with the main difficulties being integrating the new code into the existing code base. The simulator was then evaluated, both the validity of the model and the performance. To improve the simulator for its purpose, even more, functionalities such as geography elements like buildings or mountains blocking the signal should be considered. Another improvement would be to make links and cells less reliable. The simulator is modeling the perfect day scenario at the moment which does not always reflect upon reality.

From the first generation, 1G, to the fourth generation, 4G, the development and technological advancements in telecommunications network systems have been remarkable. Faster and better connections have opened up for new markets, ideas and possibilities, to that extent that there now is a demand that surpasses the supply. Despite all these advancements made in the mobile communications field most of the concept of how the technology works and its infrastructure has remained the same. This however, is about to change with the introduction of the fifth generation (5G) mobile communication. With the introduction of 5G much of the technology introduced will be different from that of previous generations. This change extends to include the entire infrastructure of the mobile communications system. With these major changes, many of the tools available today for telecommunications network evaluation do not really suffice to include the 5G network standard. For this reason, there is a need to develop a new kind of tool that will be able to include the changes brought by this new network standard. In this thesis a simulation framework adapted for the next generation telecommunication standard 5G is set to be developed. This framework should include many of the characteristics that set 5G aside from previous generations.

Container Terminals are experiencing increased pressure to raise their productivity levels and capacity, in order to handle the increasing amounts of container cargo due to globalization. Due to space restrictions and other financial factors, automated solutions have been developed. AGVs (Automated Guided Vehicles) are one of those automated solutions for the horizontal transportation with in a Container Terminal. A recent European sponsored project has lead to the development of a new generation of AGVs that are using cassettes namely IPSI™ AGVs. An agent-based simulator has been developed with the purpose of constructing and evaluating dispatching strategies for this new developed AGV system. Already explored dispatching strategies [9, 14] are used with additional modifications to re-evaluate them with the consideration of the usage of cassettes. Our findings from the simulation experiment are suggesting that a cost estimation based approach is much more suited than an inventory based. In addition to that, the results are very convincing in that the number of cassettes used is the most dominate factor despite dispatching strategy for obtaining a fast ship turnaround time.