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

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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 languageEnglish
Pages (from-to)2608-2612
Number of pages5
JournalIEEE Communications Letters
Volume27
Issue number10
Early online date1 Sept 2023
DOIs
Publication statusPublished - 1 Oct 2023

Keywords

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

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