Abstract-What would the same users do in a different network? The performance of the network has a significant effect on the traffic profiles of users, which cannot be easily identified from network traces. This work combines a number of studies to compile a new responsive traffic model for mobile networks that realistically mimics user behaviour. Users continuously evaluate the performance of the network, and initiate or terminate their sessions accordingly. The presented model utilises Markov chains to capture this behaviour, while the performance of a session is depicted with the binary distinction of good and bad quality. We analyse and showcase the implications of this model, and discuss its benefits on network planning and research applications.
This work considers the network selection and the bandwidth assignment problems in the context of heterogeneous wireless networks operated by a single service provider. The current commercial and research practices on resource management are presented, and a novel utility-based approach supporting multiple client classes is introduced. A bandwidth sharing policy and a "controlled unfairness" scheme is achieved by combining distinct priority classes with logarithmic utility functions that variably grade the bandwidth allocated to clients.To demonstrate the possibilities of this approach an optimisation problem is formulated and its solution utilityoptimally allocates bandwidth and distributes clients to base stations, modelling a network-side resource management system. The centralised operation allows for network-wide provision of comparable service levels to clients of the same class. The optimal solution is compared to several heuristic methods. Simulations showcase the behaviour of the system, which successfully differentiates clients and utilises all available resources.
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