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computer vision aided beamforming for indoor scenario at sub-6GHz
- Citation Author(s):
-
TianqiXiang
Beijing University of Posts and TelecommunicationsJiGuBeijing University of Posts and TelecommunicationsYuehongGaoBeijing University of Posts and TelecommunicationsXinZhangBeijing 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:
135 Views- Categories:
- Keywords:
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.
The dataset includes two scenarios: A and B. In each scenario, images are in "pics" folder, wireless channels are in "weights" folder and 2-D locations are in "pos_gnd" folder. Images are 640 x 480 size. The 8 numbers in a wireless channel sample represent in order the real and imaginary parts of the first antenna, the real and imaginary parts of the second antenna and so on. To read the wireless channel samples, the use of eval() function is recommended.
