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Adaptive resource allocation and frame scheduling for wireless multi-user video streaming

9 years 9 months ago
Adaptive resource allocation and frame scheduling for wireless multi-user video streaming
We propose an application-driven multi-user resource allocation and frame scheduling concept for wireless video streaming. Our approach is based on joint optimization of the application layer, the data link layer and the physical layer. For y parameters from these three layers are abstracted. The abstracted parameters at the application layer describe the ratedistortion characteristics of the pre-encoded video streams. At the lower layers they describe the current transmission characteristics of all users. The outcome of the joint optimization leads to adaptive resource allocation at the lower layers and an adaptive decision on which frames to send on the application layer. We show that for our scenario the expected video quality at the client side can be described analytically which leads to low complexity joint optimization. The performance of our approach is demonstrated using a real-time testbed implementation.
Yang Peng, Shoaib Khan, Eckehard G. Steinbach, Mar
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Yang Peng, Shoaib Khan, Eckehard G. Steinbach, Marco Sgroi, Wolfgang Kellerer
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