Alinejad, Ali (2012) Cross layer ultrasound video streaming over mobile WiMAX and HSUPA networks. (PhD thesis), Kingston University, .
Abstract
It is well known that the evolution of 4G-based mobile multimedia network systems will contribute significantly to future m-health applications that require high bandwidth and fast data rates. Central to the success of such emerging applications is the compatibility of broadband networks such as mobile WiMAX (IEEE 802.16e) and RSVP A, and especially their rate adaption issues combined with the acceptable real time medical quality of service requirements. The design of effective broadband mobile healthcare systems usmg emerging WiMAX and RSxP A networks is important from the medical perspective especially in applications such as remote medical ultrasound diagnostic systems. In this thesis, we introduce a new cross layer design approach for medical video streaming over mobile WiMAX and RSVP A networks. In particular, we propose an approach based on optimising medical Quality of Service (m-QoS) in mobile WiMAX network environments described in this work. Preliminary performance analysis of the proposed cross layer algorithm has been evaluated via simulation studies. These results show that the proposed cross layer optimizer achieves improved performance compatible with the necessary medical QoS requirements and constraints for the relevant clinical application. Furthermore, this work addresses the relevant challenges of cross layer design requirements for real time rate adaptation of ultrasound video streaming in Mobile WiMAX and RSVP A networks. The comparative performance analysis of such approach is validated in two experimental m-health testbed systems for both Mobile WiMAX and RSVP A networks. The experimental results show an improved performance of Mobile WiMAX compared to the RSVP A using the same cross layer optimisation approach. Additionally, we map the medical QoS to typical WiMAX QoS parameters in order to optimise the performance of these parameters in typical m-health scenarios. Preliminary performance analysis of the proposed multiparametric scenarios is evaluated to provide essential information for future medical QoS requirements and constraints.
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