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computer vision aided beamforming for indoor scenario at sub-6GHz

Citation Author(s):
Tianqi
Xiang
Beijing University of Posts and Telecommunications
Ji
Gu
Beijing University of Posts and Telecommunications
Yicheng
Wang
Beijing University of Posts and Telecommunications
Yuehong
Gao
Beijing University of Posts and Telecommunications
Xin
Zhang
Beijing University of Posts and Telecommunications
Submitted by:
Tianqi Xiang
Last updated:
Mon, 10/23/2023 - 08:34
DOI:
10.21227/p96v-m791
Research Article Link:
License:
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Abstract 

The growing antenna array scale, the uncorrelated fadings between downlink and uplink of frequency division duplex (FDD) or analog beamforming design increases the difficulty of channel sounding or estimation. Non-wireless channel detection or beam weight prediction method is a promising solution to help obtain timely and accurate wireless channel state. Furthermore, beamforming can be enhanced by the powerful sensing capability of cameras.

This dataset records the dataset used in the paper "Computer Vision Aided Beamforming Fused with Limited Feedback". In order to establish the link between visions and wireless channels, images captured by the camera, wireless channels and locations were recorded at the same time. The dataset was from indoor scenario at sub-6GHz.

Funding Agency: 
5G Evolution Wireless Air interface Intelligent R&D and Verification Public Platform Project
Grant Number: 
2022-229-220