Asymptotic quadratic price game mechanism for video stream extensible feedback unloading

Qianqian GE

doi:10.11959/j.issn.1000-0801.2020022

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Asymptotic quadratic price game mechanism for video stream extensible feedback unloading

Research and Development | 更新时间：2024-06-05

- Asymptotic quadratic price game mechanism for video stream extensible feedback unloading
- Telecommunications Science Vol. 36, Issue 1, Pages: 109-118(2020)
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- DOI：10.11959/j.issn.1000-0801.2020022
  CLC： TP391.9
- Published Online：2020-01，
  
  Published：20 January 2020
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Qianqian GE. Asymptotic quadratic price game mechanism for video stream extensible feedback unloading[J]. Telecommunications science, 2020, 36(1): 109-118.
DOI：

Qianqian GE. Asymptotic quadratic price game mechanism for video stream extensible feedback unloading[J]. Telecommunications science, 2020, 36(1): 109-118. DOI： 10.11959/j.issn.1000-0801.2020022.

摘要

提出一种视频流可扩展反馈卸载的渐进二次价格博弈机制。首先，通过有效地将所有视频流服务中的部分视频流量卸载到Wi-Fi网络来缓解蜂窝网络拥塞，从而提供无缝的视频流服务，并以经济高效的方式整合了多个物理路径，压缩视频数据的喷泉编码符号通过长期演进（LTE）和 Wi-Fi 网络同时传输，以灵活控制通过Wi-Fi网络的视频流量，并减轻无线信道错误导致的视频质量下降。其次，采用渐进式二次价格拍卖机制，将有限的LTE资源分配给多个用户设备，以最大限度地提高社会福利，同时达到Nash均衡，并从理论角度验证了该系统的可扩展性和收敛性；最后，通过实验仿真验证了所提算法在视频流传输质量和能量消耗上的性能优势。

Abstract

A progressive quadratic price game mechanism with scalable feedback offloading of video streams was proposed.Firstly

the congestion of cellular network could be alleviated by effectively uninstalling some video traffic from all video streaming services to Wi-Fi network

thus providing seamless video streaming services.Several physi-cal paths were integrated in an economical and efficient way.The fountain coded symbols of compressed video data were transmitted simultaneously through LTE and Wi-Fi network to flexibly control the viewing through Wi-Fi net-work and reduce the video quality degradation caused by wireless channel errors.Secondly

a progressive secondary price auction mechanism was used to allocate limited LTE resources to multiple user devices to maximize social wel-fare and achieve Nash equilibrium.The scalability and convergence of the system were verified theoretically.Finally

the performance advantages of the proposed algorithm in video streaming transmission quality and energy consump-tion were verified by experimental simulation.

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references

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