通信学报 ›› 2022, Vol. 43 ›› Issue (7): 102-112.doi: 10.11959/j.issn.1000-436x.2022139

• 学术论文 • 上一篇    下一篇

VR全景视频时空切片传输的流量评估与建模

韩圣千, 娄函, 王君来   

  1. 北京航空航天大学电子信息工程学院,北京 100191
  • 修回日期:2022-06-28 出版日期:2022-07-25 发布日期:2022-06-01
  • 作者简介:韩圣千(1981- ),男,山东威海人,博士,北京航空航天大学副教授、博士生导师,主要研究方向为无线智能通信、超可靠低时延通信、多天线传输等
    娄函(1997- ),男,云南文山人,北京航空航天大学硕士生,主要研究方向为VR全景视频传输
    王君来(1997- ),男,湖北十堰人,北京航空航天大学硕士生,主要研究方向为VR全景视频传输
  • 基金资助:
    国家自然科学基金资助项目(61871015)

Traffic evaluation and modeling for spatio-temporal slicing based VR panoramic video transmission

Shengqian HAN, Han LOU, Junlai WANG   

  1. School of Electronic Information Engineering, Beihang University, Beijing 100191, China
  • Revised:2022-06-28 Online:2022-07-25 Published:2022-06-01
  • Supported by:
    The National Natural Science Foundation of China(61871015)

摘要:

为了刻画虚拟现实(VR)全景视频的传输流量需求,针对时空切片传输模式,首先,基于VR全景视频观看数据集,对传输流量评估与空间切块方式和时间分段方式之间的关系进行仿真。然后,基于仿真结果,对VR 全景视频的传输流量进行统计建模,建立传输流量与空间切块数量和时间分段长度之间的函数关系。最后,基于得到的传输流量模型,提出一种VR全景视频时空切片方式的嵌套优化方法,其外层对空间切块数量进行遍历寻优,内层直接计算最优的时间分段长度。研究和仿真结果表明,传输流量近似服从正态分布,其均值和方差与时空切片方式有关;通过对不同类型的视频分别进行传输流量统计建模,基于所建立的流量模型优化得到的时空切片方式与通过仿真搜索得到的最优切片方式性能接近。

关键词: 虚拟现实, 全景视频, 流量模型, 时空切片

Abstract:

To characterize the traffic load of virtual reality (VR) panoramic video under the spatio-temporal slicing transmission mode, firstly, based on a real-word VR video viewing dataset, the relationship between the traffic load and the spatio-temporal slicing strategy was evaluated via simulations.Secondly, on the basis of the simulation results, a statistical traffic model was established, describing the interaction between the traffic load and the number of spatial tiles as well as the duration of temporal chunks.Finally, based on the established model, a hierarchical spatial-temporal slicing strategy optimization method was proposed, where the outer layer found the optimal number of spatial tiles by exhaustive searching while the inner layer could directly compute the optimal duration of temporal chunks.Research and simulation results show that the traffic load approximately follows a normal distribution, where the mean and variance are functions of the spatio-temporal slicing strategy.By establishing the traffic model for each type of videos, the optimized slicing strategy based on the established model performs close to the optimal strategy obtained by searching by simulations.

Key words: virtual reality, panoramic video, traffic model, spatio-temporal slicing

中图分类号: 

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