Wireless Multiplayer Interactive Virtual Reality Game Systems With Edge Computing: Modeling and Optimization

Chen, Zhiyong; Zhu, Haoyu; Song, Li; He, Dazhi; Xia, Bin

doi:10.1109/twc.2022.3178618

Cited by 26 publications

(14 citation statements)

References 32 publications

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“…Entertainment and gaming are the most popular applications of VR videos [46]. The entertainment industry including movie theatres and televisions is going to change forever from the traditional nature of 2D videos.…”

Section: A Entertainment and Gamingmentioning

confidence: 99%

“…The implementation of interactive real-time wireless VR applications with the low MTP delay and high QoE relies on fast rendering and transmission of mass data, which poses a huge challenge both to the computing power and transmission rate of existing mobile networks system [90], [129]- [132]. MEC brings the cloud computing facilities to the edge of networks through terminal, edge and fog computing infrastructure.…”

Section: A Multi-access Edge Computing (Mec)mentioning

confidence: 99%

“…Most of the works in literature have formulated problems and proposed solutions considering VR services over cellular mobile networks, more specifically, 5G and beyond 5G cellular networks [15], [46], [102], [139], [141], [143], [151], [182], [219]- [224]. Some of the proposals have also considered WLAN, satellite communications, UAV networks and D2D communications solely or in combination of cellular networks for providing wireless VR services.…”

Section: Network Architectures For Wireless Vrmentioning

confidence: 99%

“…5G and beyond 5G cellular networks with MEC and/or cloud computing are considered as the most viable architectures for wireless VR [15], [46], [102], [139], [141], [143], [151], [182], [219]- [222], [224]- [228]. A short survey on mobile VR over cellular networks with edge computing and cloud computing was presented in [15].…”

Section: A Vr Over Cellular Networkmentioning

confidence: 99%

See 3 more Smart Citations

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

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<p>The purpose of this paper is to offer a comprehensive survey on the major technical issues and current research trends in supporting VR services over wireless networks. Additionally, the paper explores the fundamentals of VR technologies, applications, QoE requirements, spectrum requirements and key enabling technologies. Finally, a comprehensive discussion regarding potential research directions aimed at enhancing wireless VR experiences is also presented. Thus, this survey paper is structured to provide a strong baseline for the researchers working in wireless VR systems.</p>

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Section: A Entertainment and Gamingmentioning

confidence: 99%

Section: A Multi-access Edge Computing (Mec)mentioning

confidence: 99%

Section: Network Architectures For Wireless Vrmentioning

confidence: 99%

Section: A Vr Over Cellular Networkmentioning

confidence: 99%

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A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Hossain,

Jamalipour,

Munasinghe

2023

Preprint

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“…It can be observed that most of the current works on VR content delivery focus on improving the throughput of wireless VR networks. Chen et al [14] have designed an iterative algorithm that iteratively optimizes the truncated first-order Taylor approximation of the objective for wireless multiplayer interactive VR game transmission framework based on mobile edge computing. Liu et al [15] have developed a constrained deep reinforcement learning algorithm to select the optimal phase shifts of the reconfigurable intelligent surface under latency constraints.…”

Section: Related Workmentioning

confidence: 99%

Federated Learning for Multi-view Synthesizing in Wireless Virtual Reality Networks

Guo

Qin

2022

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)

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The metaverse is expected to provide immersive entertainment, education, and business applications. However, virtual reality (VR) transmission over wireless networks is dataand computation-intensive, making it critical to introduce novel solutions that meet stringent quality-of-service requirements. With recent advances in edge intelligence and deep learning, we have developed a novel multi-view synthesizing framework that can efficiently provide computation, storage, and communication resources for wireless content delivery in the metaverse. We propose a three-dimensional (3D)-aware generative model that uses collections of single-view images. These single-view images are transmitted to a group of users with overlapping fields of view, which avoids massive content transmission compared to transmitting tiles or whole 3D models. We then present a federated learning approach to guarantee an efficient learning process.The training performance can be improved by characterizing the vertical and horizontal data samples with a large latent feature space, while low-latency communication can be achieved with a reduced number of transmitted parameters during federated learning. We also propose a federated transfer learning framework to enable fast domain adaptation to different target domains. Simulation results have demonstrated the effectiveness of our proposed federated multi-view synthesizing framework for VR content delivery.

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OR2M: a novel optimized resource rendering methodology for wireless networks based on virtual reality (VR) applications

Kiruthika,

Rajasekaran,

Gurumoorthy

et al. 2024

Wireless Netw

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Wireless Multiplayer Interactive Virtual Reality Game Systems With Edge Computing: Modeling and Optimization

Cited by 26 publications

References 32 publications

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

A Survey on Virtual Reality over Wireless Networks: Fundamentals, QoE, Enabling Technologies, Research Trends and Open Issues

Federated Learning for Multi-view Synthesizing in Wireless Virtual Reality Networks

OR2M: a novel optimized resource rendering methodology for wireless networks based on virtual reality (VR) applications

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