Ming-Hung Chen, Kai-Wen Hu, I. Chung, Cheng-Fu Chou
{"title":"Towards VR/AR Multimedia Content Multicast over Wireless LAN","authors":"Ming-Hung Chen, Kai-Wen Hu, I. Chung, Cheng-Fu Chou","doi":"10.1109/CCNC.2019.8651772","DOIUrl":null,"url":null,"abstract":"Virtual reality (VR) and augmented reality (AR) are expected to change people’s daily life in the future, but it still faces many challenges. New advanced coding techniques like depth image based rendering (DIBR) mitigate the need to complete content by synthesizing the scene with nearby views. However, due to the limitation of wireless spectrum, delivering VR/AR content to many people doing some activities (e.g., watching sport in a stadium or seeing an exhibition in a museum) in mobile hotspot areas is still very challenging in terms of available bandwidth. In this work, we analyze how to multicast multi-view VR/AR 3D multimedia streams over multiple wireless access points (APs) to multiple users, and then propose a multi-view allocation (MVA) algorithm to improve the delivered content quality. The simulation results show that our MVA algorithm can achieve about 90% performance of the optimal solution and outperform non-DIBR and SSA model, by 48% and 25%, respectively.","PeriodicalId":285899,"journal":{"name":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2019.8651772","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Virtual reality (VR) and augmented reality (AR) are expected to change people’s daily life in the future, but it still faces many challenges. New advanced coding techniques like depth image based rendering (DIBR) mitigate the need to complete content by synthesizing the scene with nearby views. However, due to the limitation of wireless spectrum, delivering VR/AR content to many people doing some activities (e.g., watching sport in a stadium or seeing an exhibition in a museum) in mobile hotspot areas is still very challenging in terms of available bandwidth. In this work, we analyze how to multicast multi-view VR/AR 3D multimedia streams over multiple wireless access points (APs) to multiple users, and then propose a multi-view allocation (MVA) algorithm to improve the delivered content quality. The simulation results show that our MVA algorithm can achieve about 90% performance of the optimal solution and outperform non-DIBR and SSA model, by 48% and 25%, respectively.