Virtual reality compressing and transmitting system based on mobile edge computing

Bin TAN; Songyuan ZHAO; Jun WU; Wenru ZHANG

doi:10.11959/j.issn.1000-436x.2020076

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Virtual reality compressing and transmitting system based on mobile edge computing

Topics: Key Technologies of Edge Computing | 更新时间：2024-06-05

- Virtual reality compressing and transmitting system based on mobile edge computing
- Journal on Communications Vol. 41, Issue 4, Pages: 45-53(2020)
- 作者机构：
  
  1. 井冈山大学电子与信息工程学院，江西吉安 343009
  2. 同济大学电子与信息工程学院，上海 201804
  3. 复旦大学计算机科学与技术学院，上海 200433
  4. 复旦大学计算机科学与技术学院，上海 200433；4.广东省新一代通信与网络创新研究院，广东广州 510070
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61762053);The National Natural Science Foundation of China(61601128);The National Natural Science Foundation of China(61831018);The National Natural Science Foundation of China(61631017)
- DOI：10.11959/j.issn.1000-436x.2020076
  CLC： TN929.5
- Online First：2020-04，
  
  Published：25 April 2020
- 稿件说明：
移动端阅览
Bin TAN, Songyuan ZHAO, Jun WU, et al. Virtual reality compressing and transmitting system based on mobile edge computing[J]. Journal on Communications, 2020, 41(4): 45-53.
DOI：

Bin TAN, Songyuan ZHAO, Jun WU, et al. Virtual reality compressing and transmitting system based on mobile edge computing[J]. Journal on Communications, 2020, 41(4): 45-53. DOI： 10.11959/j.issn.1000-436x.2020076.

摘要

针对基于云服务的虚拟现实对数据传输速率的高要求以及对传输时延的敏感性问题，提出并设计了基于移动边缘计算技术的云VR系统方案，主要包括基于视点的VR处理和混合数模传输优化。首先采用基于金字塔投影的用户视点感知动态推流方法实现基于视点的VR处理；然后引入混合数模技术对传输进行优化改进，并给出了启发式的资源分配优化算法；最后在长期演进（LTE）系统的基础上改造基站协议栈，融入移动边缘计算技术，实现了完整的移动边缘云VR系统。实验结果表明，与已有方案相比，所提方案能够实现更加稳健高效的传输，达到更好的VR用户体验。

Abstract

In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services

a Cloud VR system with MEC (mobile edge computing) was proposed

mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly

a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then

HDA transmission was introduced to optimize the transmission

and a heuristic algorithm for resource allocation was given.Finally

the base station protocol stack was transformed

and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.

关键词

Keywords

references

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