QoE based cache control in wireless multicast

In this paper, we investigate the problem of optimal content cache strategy with content of multi-available streaming rates over wireless network of different user channel condition. Our design objective is to maximize the quality of experience (QoE) at the user end under a limited cache server storage when considering the different channel condition among users. More specifically, the proposed strategy chooses the optimal subset of streaming rates based on channel condition and storage budget so that the expected QoE value at the user end is maximized. As a result, the propose strategy promote the utilization efficiency of insufficiency network resources and cache budget. Furthermore, through the analysis of the simulation results, there is a tradeoff between the cache size and the QoE value, depending on the number of users and their channel condition. The proposed cache strategy is based on the MMT standard.

[1]  Jonathan Kua,et al.  A Survey of Rate Adaptation Techniques for Dynamic Adaptive Streaming Over HTTP , 2017, IEEE Communications Surveys & Tutorials.

[2]  Dario Pompili,et al.  Collaborative multi-bitrate video caching and processing in Mobile-Edge Computing networks , 2016, 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS).

[3]  Kong Xiang,et al.  Survey on Models and Evaluation of Quality of Experience , 2012 .

[4]  Sujit Dey,et al.  Enhancing Mobile Video Capacity and Quality Using Rate Adaptation, RAN Caching and Processing , 2016, IEEE/ACM Transactions on Networking.

[5]  Sujit Dey,et al.  Adaptive Bit Rate capable video caching and scheduling , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Anne-Marie Kermarrec,et al.  HTTP Adaptive Streaming in Mobile Networks: Characteristics and Caching Opportunities , 2013, 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems.

[7]  Wei Song,et al.  QoE-aware adaptive bitrate video streaming over mobile networks with caching proxy , 2015, 2015 International Conference on Computing, Networking and Communications (ICNC).

[8]  Ali C. Begen,et al.  Caching in HTTP Adaptive Streaming: Friend or Foe? , 2014, NOSSDAV.

[9]  Borko Furht,et al.  A survey of multimedia content adaptation for mobile devices , 2010, Multimedia Tools and Applications.

[10]  Jie Hu,et al.  Survey on Models and Evaluation of Quality of Experience: Survey on Models and Evaluation of Quality of Experience , 2012 .

[11]  Xiaofei Wu,et al.  A New QoE-Driven Video Cache Management Scheme with Wireless Cloud Computing in Cellular Networks , 2016, Mobile Networks and Applications.

[12]  Duc Ngoc Minh Dang,et al.  A QoE-based caching algorithm for HTTP adaptive streaming contents in radio access networks , 2016, 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE).