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Item type:Publication, Access status: without files , Predictive medium access for wireless networks applied to aeronautical communicationsPublicationtype: Doctoral Thesis39 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , 2 68 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Age of information as performance metric control of wireless cyber physical systemsPublicationtype: Doctoral Thesis47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , 41 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Modeling the availability of air-to-air communication for safety critical data transmissionPublicationtype: Doctoral Thesis135 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Modeling and evaluation of adaptive ad hoc routing in wireless networksPublicationtype: Doctoral Thesis96 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Utility-based resource management for future mobile communications considering QoEThis work addresses the mobile networks, such as LTE (Long Term Evolution). The key objective is to improve the system performance in means of user satisfaction. Two main potential bottleneck links are identified, i.e. the Radio Interface and the transport network link from base station to core network. Therefore, first a utility based radio scheduling algorithm is proposed. The scheduling algorithm, which maximizes the aggregated QoE, is proven to be optimal analytically. In a second step the resource limitation on the second bottleneck link, the S1 interface in the transport network is considered in addition. The mathematical problem is formulated considering the resource on both bottleneck link and maximizing the aggregated user satisfaction. The formulated problem is proven to be a convex optimization problem, and then solved using the Lagrangian relaxation method. In addition, computational advantageous heuristics are developed and compared in simulations against legacy approaches and the optimal solution.Publicationtype: Doctoral Thesis367 312