D2D-Assisted VR Video Pre-Caching Strategy

Huang, Hongcheng; Liu, Biao; Chen, Lei; Xiang, Wei; Hu, Min; Tao, Yang

doi:10.1109/access.2018.2868766

Cited by 16 publications

(10 citation statements)

References 23 publications

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“…Their experimental results show that their proposed FoVaware caching scheme can improve the cache hit ratio and bandwidth saving by a factor of two, thus reducing network latency and relieving pressure on the network bandwidth of VR services. To fully utilize the uplink bandwidth of users in VR services, the authors in [105] design a point-to-point VR content distribution system serving the edge network with high-density devices. They propose a pre-caching algorithm for VR videos to maximize the QoE of VR services.…”

Section: B Human-in-the-loop Communicationmentioning

confidence: 99%

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

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Dubbed "the successor to the mobile Internet", the concept of the Metaverse has grown in popularity. While there exist lite versions of the Metaverse today, they are still far from realizing the full vision of an immersive, embodied, and interoperable Metaverse. Without addressing the issues of implementation from the communication and networking, as well as computation perspectives, the Metaverse is difficult to succeed the Internet, especially in terms of its accessibility to billions of users today. In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision. We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments. To enable the ubiquitous, seamless, and embodied access to the Metaverse, we discuss the communication and networking challenges and survey cutting-edge solutions and concepts that leverage next-generation communication systems for users to be telepresent and teleoperate in the Metaverse. Moreover, given the high computation costs required, e.g., to render immersive 3D worlds and run data hungry artificial intelligence (AI) driven applications, we discuss the computation challenges and cloud-edge-end computation framework driven solutions to realize the Metaverse on resource-constrained edge devices. Next, we explore how blockchain technologies can aid in the interoperable development of the Metaverse, not just in terms of empowering the economic circulation of virtual usergenerated contents, but also to manage physical edge resources in a decentralized, transparent, and tamper-proof manner. Finally, we discuss the future research directions towards realizing the true vision of the edge-enabled Metaverse.

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Section: B Human-in-the-loop Communicationmentioning

confidence: 99%

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

Xu¹,

Ng²,

Lim³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

“…The potentials in the MEC network for VR video services can be fully tapped via efficiently utilizing cachingcomputing capabilities of edge network, which has been studied in [1], [14]- [25]. In [14], a Device-to-Device (D2D)assisted VR video distribution system and a pre-caching algorithm based on QoE gain were proposed. A view synthesisbased 360 • VR caching system was designed [15], where a hierarchical collaborative caching problem was formulated to minimize the transmission latency.…”

Section: Related Workmentioning

confidence: 99%

“…It is worthy to note that all the works in [1], [14]- [25] only utilized the caching-computing capabilities of MEC servers or the VR device, ignoring the collaboration gain from both two, such as the selection between the route of caching 2D FOV at MEC servers & computing locally and the route of caching & computing 2D FOV at MEC servers in different scenarios. The authors in [26] proposed a MEC-based 360 • VR video streaming scheme, where the user's viewpoint prediction was utilized to cache video data proactively and computing tasks were partially offloaded to the MEC server.…”

Section: Related Workmentioning

confidence: 99%

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A Cooperative Caching and Computing-Offloading Method for 3C Trade-Off in VR Video Services

Wang

Lü

2021

IEEE Access

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Virtual reality (VR) video services are becoming increasingly popular in Internet of Things (IoT) owing to its immersive experience. The realization of immersive experience relies on extremely large amount of data transmitted, restricting its application. To meet the transmission requirement of VR video services, this paper designs a user-centric network based on the mobile edge computing (MEC) framework, where the 2D/3D field of view (FOV) files can be cached and the projection process from 2D FOV to 3D FOV can be computed at the VR device or MEC servers collaboratively. Based on this, a cooperative caching and computing-offloading strategy is formulated as a decision matrix, and its optimal closed-form expression is obtained by minimizing the transmission requirement under the strict service time constraint to realize the trade-off between communication, caching and computing (3C trade-off). Besides, the effect of the transmission requirement on the network density is also analyzed to provide useful guidelines for network design. Simulation results demonstrate that the proposed method can achieve quasi-optimal performance compared with other contrasting schemes.

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“…Reference [21] analyzes how the combination of D2D and edge computing affects the QoE of video streaming clients and helps to reduce backhaul traffic. In Reference [22], a pre-caching algorithm based on QoE gain is proposed to realize the distribution of D2D to VR video.…”

Section: D2d Transmission Technologymentioning

confidence: 99%

Resource allocation for virtual reality content sharing based on 5G D2D multicast communication

Yang

Feng

Zhang

et al. 2020

J Wireless Com Network

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As the development of wireless virtual reality (VR), a great disparity exists among the huge content transmission, rigorous QoS guarantees and the limited bandwidth of cellular networks. With the increasing of cache capacity on user devices, direct content sharing between user devices is a promising solution to solve this problem. To meet the quality of service (QoS) requirement of wireless VR transmission, this paper proposes a content sharing scheme based on 5G device-to-device (D2D) Multicast Communication. In this way, some adjacent VR users can form multicasting clustering to share VR content by working on D2D communication mode. The VR D2D multicasting clusters reuse the uplink channel resource of ordinary VR cellular users in the same cell. The basic prerequisite is that the degrading on QoS of these ordinary VR cellular users can be affordable. We design a two-step scheme to solve this radio resource allocation problem for VR content sharing. Firstly, we find out the optimal transmitting power for each VR user devices by geometric proximity, which metrics are affected by wireless VR throughput, tracking accuracy and delay. In the second step, we transform the channel allocation problem into a bipartite graph matching problem based on the transmitting power metrics, which is optimally solved by the Hungarian algorithm. The simulation results show that the VR content sharing based on 5G D2D communication technology can achieve larger system throughput gain and lower transmission delay. Compared with heuristic scheme and stochastic scheme, the proposed scheme can increase the throughput of the overall network by about 50% and 12%, respectively.

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D2D-Assisted VR Video Pre-Caching Strategy

Cited by 16 publications

References 23 publications

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges

A Cooperative Caching and Computing-Offloading Method for 3C Trade-Off in VR Video Services

Resource allocation for virtual reality content sharing based on 5G D2D multicast communication

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