期刊
出版社
IEEE
DOI: 10.1109/icc40277.2020.9148627
关键词
-
资金
- National Key R&D Project of China [2018YFB1801104]
- Zhejiang Provincial Natural Science Foundation of China [LR17F010001]
- Ningbo Science and Technology Innovation Major Project [2019B10079]
- ZJU-SUTD Innovation, Design and Entrepreneurship Alliance
- Talent Project of ZJAST [2017YCGC011]
Currently, it is still challenging for Video Streaming Service Providers (VSSPs) to develop advanced video delivery in wireless communications due to the limitation of network resources. In this paper, we propose a pricing strategy to effectively allocate heterogeneous resources, including transmission bandwidth and caching space, to improve users' Quality of Experience (QoE). Due to the properties of the two-hop video streaming model we propose, a video can be partially cached in the local storages to provide low waiting time and avoid playback interrupt. To design the pricing strategy for two heterogeneous resources, we first quantitatively analyzing the QoE with partial video caching by adopting diffusion approximation with stochastic data arrival. Based on the above QoE model, we develop an ascending auction framework for pricing heterogeneous resources. Furthermore, we prove that our proposed pricing strategy achieves asymptotically optimal social surplus and e-incentive compatibility. Finally, simulation results show that our proposed pricing strategy can achieve better performance on the social surplus compared to the conventional pricing strategies.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据