通信学报2024，Vol.45Issue(5)：80-89,10.DOI:10.11959/j.issn.1000-436x.2024098
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
摘要
Abstract
The transmission of point cloud video streaming requires the scheduling of various computing and transmis-sion resources.Existing research rarely considers the energy consumption issues caused by the computing tasks of termi-nal 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 band-width 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.关键词
点云视频流/能量感知/移动边缘计算/联合优化Key words
point cloud video streaming/energy-aware/MEC/joint optimization分类
信息技术与安全科学引用本文复制引用
刘威,朱雨乐,付晨,王希..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(5):80-89,10.基金项目
国家自然科学基金资助项目(No.61977064) （No.61977064）
国家重点研发计划基金资助项目(No.2021YFC3340802) The National Natural Science Foundation of China(No.61977064),The National Key Research and Develop-ment Program of China(No.2021YFC3340802) （No.2021YFC3340802）
