Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality

Augmented and virtual reality systems (AR/VR) are rapidly becoming key components of the wireless landscape. For immersive AR/VR experience, these devices should be able to construct accurate depth perception of the surrounding environment. Current AR/VR devices rely heavily on using RGB-D depth cam...

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Main Authors: Abdelrahman Taha, Qi Qu, Sam Alex, Ping Wang, William L. Abbott, Ahmed Alkhateeb
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9382300/
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author Abdelrahman Taha
Qi Qu
Sam Alex
Ping Wang
William L. Abbott
Ahmed Alkhateeb
author_facet Abdelrahman Taha
Qi Qu
Sam Alex
Ping Wang
William L. Abbott
Ahmed Alkhateeb
author_sort Abdelrahman Taha
collection DOAJ
description Augmented and virtual reality systems (AR/VR) are rapidly becoming key components of the wireless landscape. For immersive AR/VR experience, these devices should be able to construct accurate depth perception of the surrounding environment. Current AR/VR devices rely heavily on using RGB-D depth cameras to achieve this goal. The performance of these depth cameras, however, has clear limitations in several scenarios, such as the cases with shiny objects, dark surfaces, and abrupt color transition among other limitations. In this paper, we propose a novel solution for AR/VR depth map construction using mmWave MIMO communication transceivers. This is motivated by the deployment of advanced mmWave communication systems in future AR/VR devices for meeting the high data rate demands and by the interesting propagation characteristics of mmWave signals. Accounting for the constraints on these systems, we develop a comprehensive framework for constructing accurate and high-resolution depth maps using mmWave systems. In this framework, we developed new sensing beamforming codebook approaches that are specific for the depth map construction objective. Using these codebooks, and leveraging tools from successive interference cancellation, we develop a joint beam processing approach that can construct high-resolution depth maps using practical mmWave antenna arrays. Extensive simulation results highlight the potential of the proposed solution in building accurate depth maps. Further, these simulations show the promising gains of mmWave based depth perception compared to RGB-based approaches in several important use cases.
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spelling doaj.art-16a7c78d99c043a6aadd959c30a5299b2022-12-21T20:24:42ZengIEEEIEEE Access2169-35362021-01-019483414836310.1109/ACCESS.2021.30678399382300Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented RealityAbdelrahman Taha0https://orcid.org/0000-0002-6046-6641Qi Qu1Sam Alex2Ping Wang3William L. Abbott4https://orcid.org/0000-0002-9622-4003Ahmed Alkhateeb5https://orcid.org/0000-0001-5648-1569School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USAFacebook, Inc., Menlo Park, CA, USAFacebook, Inc., Menlo Park, CA, USAFacebook, Inc., Menlo Park, CA, USAFacebook, Inc., Menlo Park, CA, USASchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USAAugmented and virtual reality systems (AR/VR) are rapidly becoming key components of the wireless landscape. For immersive AR/VR experience, these devices should be able to construct accurate depth perception of the surrounding environment. Current AR/VR devices rely heavily on using RGB-D depth cameras to achieve this goal. The performance of these depth cameras, however, has clear limitations in several scenarios, such as the cases with shiny objects, dark surfaces, and abrupt color transition among other limitations. In this paper, we propose a novel solution for AR/VR depth map construction using mmWave MIMO communication transceivers. This is motivated by the deployment of advanced mmWave communication systems in future AR/VR devices for meeting the high data rate demands and by the interesting propagation characteristics of mmWave signals. Accounting for the constraints on these systems, we develop a comprehensive framework for constructing accurate and high-resolution depth maps using mmWave systems. In this framework, we developed new sensing beamforming codebook approaches that are specific for the depth map construction objective. Using these codebooks, and leveraging tools from successive interference cancellation, we develop a joint beam processing approach that can construct high-resolution depth maps using practical mmWave antenna arrays. Extensive simulation results highlight the potential of the proposed solution in building accurate depth maps. Further, these simulations show the promising gains of mmWave based depth perception compared to RGB-based approaches in several important use cases.https://ieeexplore.ieee.org/document/9382300/Beamforming codebooksdepth mapsmillimeter wavevirtual reality
spellingShingle Abdelrahman Taha
Qi Qu
Sam Alex
Ping Wang
William L. Abbott
Ahmed Alkhateeb
Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
IEEE Access
Beamforming codebooks
depth maps
millimeter wave
virtual reality
title Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
title_full Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
title_fullStr Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
title_full_unstemmed Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
title_short Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality
title_sort millimeter wave mimo based depth maps for wireless virtual and augmented reality
topic Beamforming codebooks
depth maps
millimeter wave
virtual reality
url https://ieeexplore.ieee.org/document/9382300/
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