能量感知的点云视频流传输与边缘卸载联合优化

刘威; 朱雨乐; 付晨; 王希

doi:10.11959/j.issn.1000-436x.2024098

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能量感知的点云视频流传输与边缘卸载联合优化

学术论文 | 更新时间：2024-06-24

- 能量感知的点云视频流传输与边缘卸载联合优化
- Joint optimization of transmission and edge offloading for energy-aware point cloud video streaming
- 通信学报 2024年45卷第5期页码：80-89
- 作者机构：
  
  华中科技大学电子信息与通信学院，湖北武汉 430074
- 作者简介：
  
  [ "刘威（1977- ），男，湖北武汉人，博士，华中科技大学教授、博士生导师，主要研究方向为多媒体网络、物联网、智能感知等。" ]
  [ "朱雨乐（2001- ），男，安徽阜阳人，华中科技大学硕士生，主要研究方向为多媒体网络等。" ]
  [ "付晨（1998- ），男，内蒙古赤峰人，华中科技大学硕士生，主要研究方向为多媒体网络、沉浸式媒体等。" ]
  [ "王希（1998- ），女，湖北武汉人，华中科技大学博士生，主要研究方向为多媒体网络、沉浸式视频等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61977064);国家重点研发计划基金资助项目(2021YFC3340802)
- DOI：10.11959/j.issn.1000-436x.2024098
  中图分类号： TN919.82
- 收稿：2024-02-05，
  
  修回：2024-04-19，
  
  纸质出版：2024-05-30
- 稿件说明：
移动端阅览
刘威,朱雨乐,付晨等.能量感知的点云视频流传输与边缘卸载联合优化[J].通信学报,2024,45(05):80-89.

LIU Wei,ZHU Yule,FU Chen,et al.Joint optimization of transmission and edge offloading for energy-aware point cloud video streaming[J].Journal on Communications,2024,45(05):80-89.
刘威,朱雨乐,付晨等.能量感知的点云视频流传输与边缘卸载联合优化[J].通信学报,2024,45(05):80-89. DOI： 10.11959/j.issn.1000-436x.2024098.

LIU Wei,ZHU Yule,FU Chen,et al.Joint optimization of transmission and edge offloading for energy-aware point cloud video streaming[J].Journal on Communications,2024,45(05):80-89. DOI： 10.11959/j.issn.1000-436x.2024098.

摘要

针对点云视频流媒体传输需要调度各类计算和传输资源，而现有工作较少考虑终端显示设备的计算任务带来的能耗问题，提出了一种移动边缘计算辅助的点云视频流传输方案，根据接入带宽和点云视频内容将部分计算任务从终端卸载到边缘完成。该方案建立了一个联合优化模型，在网络资源、终端和边缘算力资源的约束下，最大化用户观看体验收益并最小化终端设备能耗。实验表明，相比于对比方案，所提方案在不同条件下均可提升用户观看质量并降低终端设备能耗。

Abstract

The transmission of point cloud video streaming requires the scheduling of various computing and transmission resources. Existing research rarely considers the energy consumption issues caused by the computing tasks of terminal display devices. To solve this problem

a point cloud video streaming transmission scheme assisted by mobile edge computing (MEC) was proposed

which offloaded part of computing tasks to the MEC server based on the access bandwidth and point cloud video content. A joint optimization model was established in this scheme to maximize the quality of user’s viewing experience and minimize the energy consumption of terminal device under the constraints of network resources

terminal and edge computing resources. Experimental results show that the proposed scheme can improve the viewing quality of users and reduce the energy consumption of terminal equipment compared with the contrast scheme under different conditions.

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Keywords

references

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