Cross-layer design of resource allocation and segment adaptation based on CPIQ model for DASH clients over LTE networks

• Published in: IET communications Vol. 13; no. 10; pp. 1405 - 1414
• Main Authors: Yang, Jin, Qiao, Ruiping, Ma, Ruijie, Li, Fan
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 25.06.2019
• Subjects: clients subject; compared models; cross‐layer design CPIQ model‐based joint algorithm; curve fitting; DASH clients; dynamic adaptive; experience modelling; HTTP services; hypermedia; image segmentation; Long Term Evolution; LTE networks; model‐based cross‐layer design; network resource; optimisation; playback experience; quality of experience; quality of service; radio networks; Research Article; resource allocation; resource allocation strategy; segment adaptation; segment representation constraints; segment request; segments‐based QoE model; subjective experimental results; video streaming; radio networks; segments-based QoE model; segment adaptation; hypermedia; clients subject; segment request; model-based cross-layer design; optimisation; resource allocation; HTTP services; resource allocation strategy; image segmentation; dynamic adaptive; video streaming; playback experience; Long Term Evolution; compared models; LTE networks; quality of service; cross-layer design CPIQ model-based joint algorithm; quality of experience; network resource; subjective experimental results; experience modelling; curve fitting; DASH clients; segment representation constraints
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2018.6135

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.