QoE-Aware Volumetric Video Caching and Rendering for Mobile Extended Reality Services

IF 8.9 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Internet of Things Journal Pub Date : 2025-03-14 DOI:10.1109/JIOT.2025.3551237

Yingying Pei;Mushu Li;Xinyu Huang;Xuemin Shen

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引用次数: 0

Abstract

In this article, we propose a novel volumetric video caching and rendering approach for an edge-assisted extended reality (XR) system to enhance user Quality of Experience (QoE). Particularly, user QoE consists of visual quality and quality variation. Different quality of volumetric videos are required to be cached, rendered, and delivered to XR devices for different viewing distances within a time latency. Given the limited caching, computing, and communication resources on the edge server, we formulate a long-term user QoE maximization problem to jointly optimize video caching and rendering by considering user locations and viewing distances. To solve this problem, we first design an online optimization algorithm in which caching decisions are obtained using a regularization technique. We then develop a low-complexity binary search algorithm to determine optimal rendering quality. Extensive simulations are conducted to demonstrate that our proposed approach outperforms benchmark schemes by an average 46% improvement in terms of long-term user QoE.

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面向移动扩展现实服务的qos感知体积视频缓存和渲染

在本文中，我们为边缘辅助扩展现实（XR）系统提出了一种新的体积视频缓存和渲染方法，以提高用户体验质量（QoE）。用户质量体验包括视觉质量和质量变化。需要在一定的时间延迟内缓存、渲染和传送不同质量的体积视频到XR设备，以实现不同的观看距离。考虑到边缘服务器上有限的缓存、计算和通信资源，我们制定了一个长期的用户QoE最大化问题，通过考虑用户位置和观看距离来共同优化视频缓存和渲染。为了解决这个问题，我们首先设计了一个在线优化算法，其中使用正则化技术获得缓存决策。然后，我们开发了一种低复杂度的二进制搜索算法来确定最佳渲染质量。进行了大量的模拟，以证明我们提出的方法在长期用户QoE方面比基准方案平均提高46%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Internet of Things Journal Computer Science-Information Systems

CiteScore

17.60

自引率

13.20%

发文量

1982

期刊介绍： The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.