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Student projects


Resource optimization of UMTS radio systems - Development of new algorithms

Kind of work:
Project Work
Prof. Dr.-Ing. habil. Andreas Mitschele-Thiel
Dr.-Ing. Florian Liers
Sylvia Dobrunz
Andre Geissler
The algorithm based on automatic control engineering consists of 3 parts: dropping, blocking and CAC-adaption. Depending on the number of calls, that had been dropped, CAC of the tight resource will be lowered. Therefore the blocking of requesting mobiles will increase and their resources can be reserved for active mobiles. CAC ought to improve dropping.
During simulation it turned out, that dropping is still inceasing if a static, defined, maximum value for dropping is exceeded. While using no CAC adaption dropping doesn't show the same behavior like before. Consequently, these simulation results advance the automatic control engineering method, because of lower droppings all way through. As before expected blocking is high. In this algorithm blocking is higher than blocking by using static timeouts or using Simplex.
Call-Setup-Time is shorter using Simplex or static timeouts. The reason is a short retention period of each mobile in each state. Summarized there are improvements in dropping using this algorithm. But, by using it, you should be aware of high blocking
and bad setup times for calls.