Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices

Lai, Zeqi; Hu, Yang; Cui, Yong; Sun, Linhui; Dai, Ningwei; Lee, Hung-Sheng

doi:10.1109/tmc.2019.2913364

Cited by 133 publications

(109 citation statements)

References 38 publications

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“…4 shows the trade-off between the average end-to-end latency and the average PSNR of the spatial base layer. 2 It can be seen that the PSNR without error control (points marked with "1") is limited to about 26 dB because of the relatively high NALU loss ratio, whereas the combination of RAN retransmissions and network coding error correction (points marked with "2") is able to guarantee almost perfect reconstruction (note that 100 dB is the conventional value given by JSVM to error-free packet delivery). The figure also shows that multi connectivity, while not necessarily needed for high PSNR (which can be achieved even by a stand-alone mmWave network), can be very effective in reducing latency, especially in the presence of error control.…”

Section: B Resultsmentioning

confidence: 99%

“…By 2019, 80% of the global Internet consumption will be video content, and 66% of it will be accessed from mobile devices [1]. Moreover, virtual reality applications are becoming more popular, requiring very high data rates, in the order of gigabits per second, and low latency, possibly below 10 ms [2]. Therefore, video and multimedia streaming will be an essential application of the next generation of wireless networks (5G) and of one of its key technological components: mmWave communications.…”

Section: Introductionmentioning

confidence: 99%

“…No RAN retx, no NC FEC 2 -RAN retx, NC FEC PSNR of the spatial base layer vs. latency for the configuration with no RAN retransmission and no NC FEC (1) and the one with both RAN and NC FEC(2).…”

mentioning

confidence: 99%

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Reliable Video Streaming over mmWave with Multi Connectivity and Network Coding

Drago

Azzino

Polese

et al. 2018

2018 International Conference on Computing, Networking and Communications (ICNC)

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The next generation of multimedia applications will require the telecommunication networks to support a higher bitrate than today, in order to deliver virtual reality and ultrahigh quality video content to the users. Most of the video content will be accessed from mobile devices, prompting the provision of very high data rates by next generation (5G) cellular networks. A possible enabler in this regard is communication at mmWave frequencies, given the vast amount of available spectrum that can be allocated to mobile users; however, the harsh propagation environment at such high frequencies makes it hard to provide a reliable service. This paper presents a reliable video streaming architecture for mmWave networks, based on multi connectivity and network coding, and evaluates its performance using a novel combination of the ns-3 mmWave module, real video traces and the network coding library Kodo. The results show that it is indeed possible to reliably stream video over cellular mmWave links, while the combination of multi connectivity and network coding can support high video quality with low latency.

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Section: B Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reliable Video Streaming over mmWave with Multi Connectivity and Network Coding

Drago

Azzino

Polese

et al. 2018

2018 International Conference on Computing, Networking and Communications (ICNC)

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“…In addition, current cloud-based VR applications leverage panoramic frames to create immersive experience [1,4]. The server sends a panoramic frame to the client, and then the client crops the panorama to generate the final frame for display.…”

Section: Computation Redundancy In Ic Appsmentioning

confidence: 99%

Immersion on the Edge

Lai

Cui

Wang

et al. 2018

Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos

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BACKGROUND AND MOTIVATION 1.1 Mobile IC apps are delay limitedEmerging Immersive Computing (IC) applications, such as virtual reality (VR) and augmented reality (AR), are changing the way human beings interact with mobile smart devices. It is well-known that object recognition and rendering are the key performance bottleneck in mobile IC systems [4,6]. To speed up computation on mobile devices, the typical approach used in current IC applications is offloading computation-intensive tasks to the cloud [5,6], or leveraging local system optimizations to accelerate IC tasks [2, 3]. However, as user's QoE requirements increase over time, * Corresponding author.

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“…Obviously, providing short enough latency with such a distributed rendering system is a major challenge. One way to mask latency is to do speculative rendering and prefetching of content (e.g., [6,16]) but that approach can be prohibitively expensive from computational and/or network traffic point of view. Hence, the other major challenge is to curb the server-side computational load as well as bandwidth demand, while dealing with latency.…”

Section: Introductionmentioning

confidence: 99%

CloudVR

Kämäräinen

Siekkinen

Eerikäinen

et al. 2018

Proceedings of the 26th ACM International Conference on Multimedia

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High quality immersive Virtual Reality experience currently requires a PC setup with cable connected head mounted display, which is expensive and restricts user mobility. This paper presents CloudVR which is a system for cloud accelerated interactive mobile VR. It is designed to provide short rotation and interaction latencies through panoramic rendering and dynamic object placement. CloudVR also includes rendering optimizations to reduce serverside computational load and bandwidth requirements between the server and client. Performance measurements with a CloudVR prototype suggest that the optimizations make it possible to double the server's framerate and halve the amount of bandwidth required and that small objects can be quickly moved at run time to client device for rendering to provide shorter interaction latency. A smallscale user study indicates that CloudVR users do not notice small network latencies (20ms) and even much longer ones (100-200ms) become non-trivial to detect when they do not affect the interaction with objects. Finally, we present a design of CloudVR extension to multi-user scenarios.

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Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices

Cited by 133 publications

References 38 publications

Reliable Video Streaming over mmWave with Multi Connectivity and Network Coding

Reliable Video Streaming over mmWave with Multi Connectivity and Network Coding

Immersion on the Edge

CloudVR

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