Journal ArticleDOI
Rendering-Aware VR Video Caching Over Multi-Cell MEC Networks
TLDR
Wang et al. as mentioned in this paper proposed a rendering-aware tile caching scheme to optimize the end-to-end latency for VR video delivery over multi-cell MEC networks by enabling multiple cell sites to share caches so that the network caching performance is improved.Abstract:
Delivering high fidelity virtual reality (VR) video over mobile networks is very challenging since VR applications usually require very high bandwidth and ultra low latency. With the evolution of 5G mobile networks, multi-cell multi-access edge computing (MEC) networks enable low latency data communication. However, even in this setting, the requirements of VR applications are tough to meet. To optimize the end-to-end latency for VR video delivery over multi-cell MEC networks, we propose a rendering-aware tile caching scheme. As a first step we propose collaborative tile caching in 5G MEC networks by enabling multiple cell sites to share caches so that the network caching performance is improved. Hence, the amount of redundant data delivered and eventually the latency are both significantly reduced. Second, our scheme offloads viewport rendering of VR video to the MEC server and closely couples this with cache placement, allowing thus the rendering-induced latency to be reduced. Finally, a low-delay request routing algorithm is integrated with the proposed cache placement scheme to further optimize the end-to-end latency of VR video delivery. Extensive simulation results show that the proposed rendering-aware caching scheme can achieve better latency performance than the state-of-the-art decoupled caching/rendering schemes.read more
Citations
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Journal ArticleDOI
Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video
Dawid Mieloch,Patrick Garus,Marta Milovanovic,Jun Young Jeong,Smitha Lingadahalli Ravi,Basel Salahieh +5 more
TL;DR: The combined non-transmission of depth maps and efficient coding of textures enabled by the DSDE leads to efficient compression and rendering quality improvement compared to the usual encoder-side depth estimation.
Proceedings ArticleDOI
Mobile Edge Computing, Metaverse, 6G Wireless Communications, Artificial Intelligence, and Blockchain: Survey and Their Convergence
Yitong Wang,Jun Zhao +1 more
TL;DR: This paper investigates the computational paradigms used to meet the stringent requirements of modern applications of mobile edge computing, and presents the motivation of MEC-based Metaverse and introduces the applications of M EC to the Metaverse.
Journal ArticleDOI
Multi-neural network based tiled 360°video caching with Mobile Edge Computing
TL;DR: In this article , a Mobile Edge Computing (MEC) based tiled 360° caching solution that uses Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) in conjunction to address the challenges associated with 360° video caching is proposed.
Journal ArticleDOI
Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video
TL;DR: In this article , the authors present the overview and rationale behind the Decoder-Side Depth Estimation (DSDE) mode of the MPEG Immersive Video (MIV) standard, using the Geometry Absent profile, for efficient compression of immersive multiview video.
Journal ArticleDOI
Performance Analysis of an Adaptive Rate Scheme for QoE-Assured Mobile VR Video Streaming
TL;DR: A network architecture for mobile VR video streaming applications consisting of a server that holds the VR video content, a mobile edge virtualization with prefetching unit that handles theVR video packets, and a head-mounted display along with a buffer, which together serve as the UE.
References
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