Computer Vision Aided Codebook Design for MIMO Communications Systems

doi:10.1109/TWC.2022.3217664

Computer Vision Aided Codebook Design for MIMO Communications Systems

2023-05-01

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DOI：10.1109/TWC.2022.3217664

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mmWave communications systems usually rely on analog or hybrid analog/digital architectures and thus need a predefined codebook to perform beamforming. Traditional codebooks are designed for universal environments, although in practice a particular BS will only serve a particular environment. In this paper, we propose novel site-specific codebook design methods by utilizing the visual information captured through cameras. Different from other site-specific codebook design methods that require a large amount of measured channel state information (CSI), the proposed ones need only a simple snapshot of the environment followed by efficient computer vision (CV) techniques. Thus the proposed CV-aided codebook design reduces the overhead of communications system, such as the cost of time, human resources, as well as the hardware installation and calibration. Specifically, we propose a CV-based approach that detects the LOS area around the BS and reconstructs the LOS channel vectors set (CVS). With this knowledge, we build a vision-based beam codebook using Lloyd algorithm. Further, we design a FusionNet to generate the codebook that can serve the non-line-of-sight (NLOS) users. The simulation results demonstrate the effectiveness of the proposed CV-aided codebook design methods and their superiority compared to the conventional methods.

Keywords:

Array signal processing

Communication systems

Design methodology

Radio frequency

Millimeter wave communication

Wireless communication

Antennas

Computer vision

beamforming

codebook design

3D scene

FusionNet

Computer Vision Aided Codebook Design for MIMO Communications Systems

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