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- Title
Cross-layer design of resource allocation and segment adaptation based on CPIQ model for DASH clients over LTE networks.
- Authors
Jin Yang; Ruiping Qiao; Ruijie Ma; Fan Li
- Abstract
With the rapid development of dynamic adaptive streaming over HTTP (DASH) services, how to satisfy the requirements of DASH clients has attracted more and more attention. This study was carried out to focus on the quality of experience (QoE) modelling and the model-based cross-layer design which consists of segment adaptation and resource allocation, improving the playback experience of the clients. First, the key factors are investigated, which can affect the clients’ subjective satisfaction. A characteristics and playback information of the segments-based QoE (CPIQ) model is established by employing the curve-fitting method based on a large amount of subjective experimental results of these factors. Then with the CPIQ model as the objective function, a cross-layer design CPIQ model-based joint algorithm of segment request and resource allocation (CJRRA) model is formulated to maximise the total QoE of all the clients subject to the network resource and segment representation constraints. Segment adaptation and resource allocation strategy can be determined jointly by the authors developed low complexity solution. Finally, the simulation results show that the overall performance of CPIQ model and CJRRA significantly outperforms other compared models or algorithms in terms of accuracy, linearity and stability.
- Subjects
RESOURCE allocation; HTTP (Computer network protocol); RADIO resource management; STREAMING video &; television; PHYSIOLOGICAL adaptation; CLIENTS
- Publication
IET Communications (Wiley-Blackwell), 2019, Vol 13, Issue 10, p1405
- ISSN
1751-8628
- Publication type
Article
- DOI
10.1049/iet-com.2018.6135