开彩红  (教授)

博士生导师 硕士生导师

电子邮箱:

所在单位:信息与通信工程系

学历:研究生(博士)毕业

办公地点:翡翠科教楼A605-2

性别:女

联系方式:chkai@hfut.edu.cn QQ:35276426

学位:博士学位

在职信息:在职

毕业院校:香港中文大学

学科:通信与信息系统
计算机应用技术
软件工程其他专业

Vision Image Aided Near-Field Beam Training for Internet of Vehicle Systems

点击次数:

所属单位:School of Computer Science and Information Engineering, Hefei University of Technology

发表刊物:2024 IEEE International Conference on Communications Workshops

项目来源:the National Natural Science Foundation of China under Grants 61971176, 62371180 and 62171474,Anhui

关键字:Vision Image, Near-field, Beam Training

摘要:In this paper, we develop a novel beam training scheme for extremely large-scale multiple-input-multiple-output (XL-MIMO) system by exploiting the visual image information. Different from the conventional beam training schemes that consumes a large number of in-band (time/frequency) resources, the proposed scheme only leverages the out-of-band (vision image) information, which can efficiently reduce the training overhead. Specifically, we proposed a vision image-aided beam training cascaded framework integrating YOLOv5 and ResNet18 networks, where the YOLOv5 uses the object detection technique to extract the size and location information of the mobile vehicles (MVs) and the ResNet18 based the extracted information infers the optimal beam index without occupying in-band overhead. The simulation results demonstrate that the proposed vision image aided beam training scheme outperforms the benchmark scheme.

合写作者:Xueqing Huang,Haiyang Zhang,Kunyang Sun,Caihong Kai,Shiwen He

第一作者:Wei Huang

论文类型:论文集

学科门类:工学

文献类型:C

页面范围:390-395

是否译文:

发表时间:2024-06-09

收录刊物:EI

上一条: Resource Allocation Design for RIS-enhanced Backscatter Wireless-powered Symbiotic Networks

下一条: Delay Pre-Compensation Scheme for Single Carrier IRS-Aided Wideband Multi-User MISO Systems