Joint optimization of bitrate selection and beamforming for holographic video cooperative streaming in VLC systems

Wanli Wen; Xiaoling Peng; Chen Chen; Yunjian Jia; Jianqing Li; Harald Haas

doi:10.1109/lcomm.2023.3310974

Joint optimization of bitrate selection and beamforming for holographic video cooperative streaming in VLC systems

Wanli Wen, Xiaoling Peng, Chen Chen, Yunjian Jia, Jianqing Li, Harald Haas

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

44 Downloads (Pure)

Abstract

Holographic video streaming requires ultrahigh channel capacity, which might not be achieved by the existing radio frequency-based wireless networks. To address this challenge, we propose a holographic video cooperative streaming framework by integrating coordinated multipoint transmission and beamforming technologies in visible light communication (VLC) systems. This framework enables simultaneous video streaming with an ultrahigh data rate for multiple users in the VLC system, resulting in a more efficient and effective streaming process. By mathematically modeling the streaming framework, we formulate a joint bitrate selection and beamforming problem, aiming to maximize the average video quality experienced by all users. The problem is a non-convex mixed-integer problem and is NP-hard in general. We propose an algorithm with polynomial time complexity for the problem using an alternative optimization technique along with an appropriate rounding operation. Numerical results demonstrate the superiority of the proposed joint bitrate selection and beamforming solution over baselines.

Original language	English
Pages (from-to)	2608-2612
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	10
Early online date	1 Sept 2023
DOIs	https://doi.org/10.1109/lcomm.2023.3310974
Publication status	Published - 1 Oct 2023

Funding

This work is sponsored by the National Natural Science Foundation of China under Grants 62201101, 61971077, and 62271091, the Project funded by China Postdoctoral Science Foundation under Grant 2022M720020, the Natural Science Foundation of Chongqing, China under Grant cstc2021jcyj-msxmX0458, the Chongqing Technology Innovation and Application Development Special Key Project under Grant CSTB2022TIAD-KPX0059, and the open research fund of National Mobile Communications Research Laboratory, Southeast University under Grant 2022D06.

Keywords

holographic video streaming
visible light communication
coordinated multipoint transmission
bitrate selection
beamforming

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10.1109/lcomm.2023.3310974

Wen-etal-IEEE-CL-2023-Joint-optimization-of-bitrate-selection-and-beamforming-for-holographic-videoAccepted author manuscript, 864 KBLicence: Strath_1

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title = "Joint optimization of bitrate selection and beamforming for holographic video cooperative streaming in VLC systems",

abstract = "Holographic video streaming requires ultrahigh channel capacity, which might not be achieved by the existing radio frequency-based wireless networks. To address this challenge, we propose a holographic video cooperative streaming framework by integrating coordinated multipoint transmission and beamforming technologies in visible light communication (VLC) systems. This framework enables simultaneous video streaming with an ultrahigh data rate for multiple users in the VLC system, resulting in a more efficient and effective streaming process. By mathematically modeling the streaming framework, we formulate a joint bitrate selection and beamforming problem, aiming to maximize the average video quality experienced by all users. The problem is a non-convex mixed-integer problem and is NP-hard in general. We propose an algorithm with polynomial time complexity for the problem using an alternative optimization technique along with an appropriate rounding operation. Numerical results demonstrate the superiority of the proposed joint bitrate selection and beamforming solution over baselines.",

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AU - Wen, Wanli

AU - Peng, Xiaoling

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AU - Jia, Yunjian

AU - Li, Jianqing

AU - Haas, Harald

N1 - © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2023/10/1

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N2 - Holographic video streaming requires ultrahigh channel capacity, which might not be achieved by the existing radio frequency-based wireless networks. To address this challenge, we propose a holographic video cooperative streaming framework by integrating coordinated multipoint transmission and beamforming technologies in visible light communication (VLC) systems. This framework enables simultaneous video streaming with an ultrahigh data rate for multiple users in the VLC system, resulting in a more efficient and effective streaming process. By mathematically modeling the streaming framework, we formulate a joint bitrate selection and beamforming problem, aiming to maximize the average video quality experienced by all users. The problem is a non-convex mixed-integer problem and is NP-hard in general. We propose an algorithm with polynomial time complexity for the problem using an alternative optimization technique along with an appropriate rounding operation. Numerical results demonstrate the superiority of the proposed joint bitrate selection and beamforming solution over baselines.

AB - Holographic video streaming requires ultrahigh channel capacity, which might not be achieved by the existing radio frequency-based wireless networks. To address this challenge, we propose a holographic video cooperative streaming framework by integrating coordinated multipoint transmission and beamforming technologies in visible light communication (VLC) systems. This framework enables simultaneous video streaming with an ultrahigh data rate for multiple users in the VLC system, resulting in a more efficient and effective streaming process. By mathematically modeling the streaming framework, we formulate a joint bitrate selection and beamforming problem, aiming to maximize the average video quality experienced by all users. The problem is a non-convex mixed-integer problem and is NP-hard in general. We propose an algorithm with polynomial time complexity for the problem using an alternative optimization technique along with an appropriate rounding operation. Numerical results demonstrate the superiority of the proposed joint bitrate selection and beamforming solution over baselines.

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JO - IEEE Communications Letters

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ER -

Joint optimization of bitrate selection and beamforming for holographic video cooperative streaming in VLC systems

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