Edge computing meets millimeter-wave enabled VR: Paving the way to cutting the cord

Elbamby, Mohammed S.; Perfecto, Cristina; Bennis, Mehdi; Doppler, Klaus

doi:10.1109/wcnc.2018.8377419

Cited by 80 publications

(71 citation statements)

References 17 publications

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“…The need for a better XR QoE and the advancement in wireless communication capabilities motivate the development of wireless XR systems that incorporate powerful edge computers and high capacity wireless links [44], [74]- [77]. MmWave communication can provide large spectrum and high data rates, making it a solid candidate for wireless XR.…”

Section: Extended Realitymentioning

confidence: 99%

Wireless Edge Computing With Latency and Reliability Guarantees

et al. 2019

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Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth generation (5G) wireless systems and beyond. While current state-of-the-art networks communicate, compute, and process data in a centralized manner (at the cloud), for latency and compute-centric applications, both radio access and computational resources must be brought closer to the edge, harnessing the availability of computing and storage-enabled small cell base stations in proximity to the end devices. Furthermore, the network infrastructure must enable a distributed edge decision-making service that learns to adapt to the network dynamics with minimal latency and optimize network deployment and operation accordingly. This article will provide a fresh look to the concept of edge computing by first discussing the applications that the network edge must provide, with a special emphasis on the ensuing challenges in enabling ultra-reliable and lowlatency edge computing services for mission-critical applications such as virtual reality (VR), vehicle-to-everything (V2X), edge artificial intelligence (AI), and so forth. Furthermore, several case studies where the edge is key are explored followed by insights and prospect for future work.

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Section: Extended Realitymentioning

confidence: 99%

Wireless Edge Computing With Latency and Reliability Guarantees

et al. 2019

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“…The work in [8] proposes a concrete measure for the delay perception of VR users. The authors in [9] present a scheme of proactive computing and high-frequency, millimeter wave (mmWave) [12] transmission for wireless VR networks. In [10], the authors design several experiments for quantifying the performance of tile-based 360 • video streaming over a real cellular network.…”

Section: Introductionmentioning

confidence: 99%

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

Chen

Semiari

Saad

et al. 2020

IEEE Trans. Wireless Commun.

102

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In this paper, the problem of enhancing the virtual reality (VR) experience for wireless users is investigated by minimizing the occurrence of breaks in presence (BIP) that can detach the users from their virtual world. To measure the BIP for wireless VR users, a novel model that jointly considers the VR application type, transmission delay, VR video quality, and users' awareness of the virtual environment is proposed. In the developed model, the base stations (BSs) transmit VR videos to the wireless VR users using directional transmission links so as to provide high data rates for the VR users, thus, reducing the number of BIP for each user. Since the body movements of a VR user may result in a blockage of its wireless link, the location and orientation of VR users must also be considered when minimizing BIP. The BIP minimization problem is formulated as an optimization problem which jointly considers the predictions of users' locations, orientations, and their BS association. To predict the orientation and locations of VR users, a distributed learning algorithm based on the machine learning framework of deep (ESNs) is proposed. The proposed algorithm uses concept from federated learning to enable multiple BSs to locally train their deep ESNs using their collected data and cooperatively build a learning model to predict the entire users' locations and orientations. Using these predictions, the user association policy that minimizes BIP is derived. Simulation results demonstrate that the developed algorithm reduces the users' BIP by up to 16% and 26%, respectively, compared to centralized ESN and deep learning algorithms.

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“…A number of recent works attempted to address the challenges of VR communications [2], [5]- [8]. In [2], the authors discuss the current and future trends of wireless VR systems.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], the issue of concurrent support of visual and haptic perceptions over wireless cellular networks is studied, while the work in [8] proposes a joint proactive computing and millimeter wave resource allocation scheme under latency and reliability constraints. However, these prior works [6]- [8] only examine the average delays and data rates; thus reflecting limited information about the systems analyzed. In contrast, to guarantee URLLC, it is necessary to have a full view of the statistics of the delay in order to properly characterize the system's reliability.…”

Section: Introductionmentioning

confidence: 99%

On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies

Chaccour

Amer

Zhou

et al. 2019

2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)

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Guaranteeing ultra reliable low latency communications (URLLC) with high data rates for virtual reality (VR) services is a key challenge to enable a dual VR perception: visual and haptic. In this paper, a terahertz (THz) cellular network is considered to provide high-rate VR services, thus enabling a successful visual perception. For this network, guaranteeing URLLC with high rates requires overcoming the uncertainty stemming from the THz channel. To this end, the achievable reliability and latency of VR services over THz links are characterized. In particular, a novel expression for the probability distribution function of the transmission delay is derived as a function of the system parameters. Subsequently, the end-to-end (E2E) delay distribution that takes into account both processing and transmission delay is found and a tractable expression of the reliability of the system is derived as a function of the THz network parameters such as the molecular absorption loss and noise, the transmitted power, and the distance between the VR user and its respective small base station (SBS). Numerical results show the effects of various system parameters such as the bandwidth and the region of non-negligible interference on the reliability of the system. In particular, the results show that THz can deliver rates up to 16.4 Gbps and a reliability of 99.999% (with a delay threshold of 30 ms) provided that the impact of the molecular absorption on the THz links, which substantially limits the communication range of the SBS, is alleviated by densifying the network accordingly.Index Terms-virtual reality (VR), terahertz, reliability, ultra reliable low latency communications (URLLC).

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Edge computing meets millimeter-wave enabled VR: Paving the way to cutting the cord

Cited by 80 publications

References 17 publications

Wireless Edge Computing With Latency and Reliability Guarantees

Wireless Edge Computing With Latency and Reliability Guarantees

Federated Echo State Learning for Minimizing Breaks in Presence in Wireless Virtual Reality Networks

On the Reliability of Wireless Virtual Reality at Terahertz (THz) Frequencies

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