Strategic Control of 60 GHz Millimeter-Wave High-Speed Wireless Links for Distributed Virtual Reality Platforms

Kim, Joongheon; Lee, Jaejin; Lee, Woojoo

doi:10.1155/2017/5040347

Cited by 13 publications

(7 citation statements)

References 17 publications

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“…Abari et al [12] proposed MoVR to solve the signal blocking problem in the 60-GHz band by reflecting signals toward the user. Kim et al [13] proposed a dynamic/adaptive algorithm that could control the power allocation in 60-GHz transceivers to achieve the time-average energy efficiency for VR data delivery while preserving the queue stabilization. In [14], the feasibility of wireless VR using WiGig was examined through performance measurements and simulation studies.…”

Section: Related Workmentioning

confidence: 99%

Motion-Aware Interplay between WiGig and WiFi for Wireless Virtual Reality

Kim

Yun

2020

Sensors

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Wireless virtual reality (VR) is a promising direction for future VR systems that offloads heavy computation to a remote processing entity and wirelessly receives high-quality streams. WiGig and WiFi are representative solutions to implement wireless VR; however, they differ in communication bandwidth and reliability. Our testbed experiments show that the performance of WiGig and VR traffic generation strongly correlates with and consequently can be predicted from a user’s motion. Based on this observation, we develop a wireless VR system that exploits the benefits of both links by switching between them and controlling the VR frame encoding for latency regulation and image quality enhancement. The proposed system predicts the performance of the links and selects the one with a higher capacity in an opportunistic manner. It adjusts the encoding rate of the host based on the motion-aware prediction of the frame size and estimated latency of the selected link. By evaluating the testbed data, we demonstrate that the proposed system outperforms a WiGig-only system with a fixed encoding rate in terms of latency regulation and image quality.

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Section: Related Workmentioning

confidence: 99%

Motion-Aware Interplay between WiGig and WiFi for Wireless Virtual Reality

Kim

Yun

2020

Sensors

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“…Thus, this fact causes a greater attenuation at 60 GHz, since the attenuation of dry air vapor is higher [34]. This fact is worthy of note, since the 60 GHz band is considered promising due to its large availability of unlicensed bandwidth around the world [52]- [54]. In addition, the development of mmWave frequency standards, such as IEEE 802.11ad, IEEE 802.15.3c and IEEE 802.11ay demonstrates that 60 GHz band technology can be used in new network generations, such as 5G technology.…”

Section: A Impact Of Rain and Atmospheric Gases On Speech Qualitymentioning

confidence: 99%

Speech Quality Classifier Model based on DBN that Considers Atmospheric Phenomena

Silva

Carrillo²,

Rosa

et al. 2020

J. commun. softw. syst. (Online)

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Current implementations of 5G networks consider higher frequency range of operation than previous telecommunication networks, and it is possible to offer higher data rates for different applications. On the other hand, atmospheric phenomena could have a more negative impact on the transmission quality. Thus, the study of the transmitted signal quality at high frequencies is relevant to guaranty the user ́s quality of experience. In this research, the recommendations ITU-R P.838-3 and ITU-R P.676-11 are implemented in a network scenario, which are methodologies to estimate the signal degradations originated by rainfall and atmospheric gases, respectively. Thus, speech signals are encoded by the AMR-WB codec, transmitted and the perceptual speech quality is evaluated using the algorithm described in ITU-T Rec. P.863, mostly known as POLQA. The novelty of this work is to propose a non-intrusive speech quality classifier that considers atmospheric phenomena. This classifier is based on Deep Belief Networks (DBN) that uses Support Vector Machine (SVM) with radial basis function kernel (RBF-SVM) as classifier, to identify five predefined speech quality classes. Experimental Results show that the proposed speech quality classifier reached an accuracy between 92% and 95% for each quality class overcoming the results obtained by the sole non-intrusive standard described in ITU-T Recommendation P.563. Furthermore, subjective tests are carried out to validate the proposed classifier performance, and it reached an accuracy of 94.8%.

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“…As will be discussed further when millimeter waves are compared with OWC, both technologies can form the basis for highspeed WiFi links to offer increased bandwidth and thus greater capacity [41]. Millimeter waves are ideal for satellite communications because of their significant bandwidth [42] and for highspeed transmission of video and audio for virtual reality (VR) applications [43]. Millimeterwave radar has also been widely applied, most latterly in autonomous vehicles [44] and contraband detection [45].…”

Section: Application Areas and Propertiesmentioning

confidence: 99%

Optical Wireless and Millimeter Waves for 5G Access Networks

Leeson¹,

Higgins²

2019

The Fifth Generation (5G) of Wireless Communication

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Growing bandwidth demands are driving the search for increased network capacity leading to the exploration of new wavelength ranges for future communication systems. Therefore, we consider two technologies that offer increased transmission bandwidths by virtue of their high carrier frequencies, namely optical wireless and millimeter-wave transmission. After highlighting the relevant electromagnetic (EM) spectrum region, we briefly describe the applications and properties of each approach coupled with a short history of their development. This is followed by a performance comparison in two possible 5G links: outdoor point-to-point and indoor hotspots. We find that in both cases, there are regions where optical wireless communications (OWC) are better, but others where millimeter waves are to be preferred. Specifically, the former outperforms the latter over distances up to approximately 50 meters outdoors and a 10-meter hotspot radius indoors.

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Strategic Control of 60 GHz Millimeter-Wave High-Speed Wireless Links for Distributed Virtual Reality Platforms

Cited by 13 publications

References 17 publications

Motion-Aware Interplay between WiGig and WiFi for Wireless Virtual Reality

Motion-Aware Interplay between WiGig and WiFi for Wireless Virtual Reality

Speech Quality Classifier Model based on DBN that Considers Atmospheric Phenomena

Optical Wireless and Millimeter Waves for 5G Access Networks

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