학술논문

Multi-Camera Views Based Beam Searching and BS Selection With Reduced Training Overhead
Document Type
Periodical
Source
IEEE Transactions on Communications IEEE Trans. Commun. Communications, IEEE Transactions on. 72(5):2793-2805 May, 2024
Subject
Communication, Networking and Broadcast Technologies
Millimeter wave communication
Cameras
Feature extraction
Optimized production technology
Array signal processing
Visualization
Task analysis
Multi-camera view
beam searching
BS selection
URLLC
Language
ISSN
0090-6778
1558-0857
Abstract
Millimeter-wave (mmWave) communications with abundant spectrum resources have become an enabling technology for high throughput, ultra-reliable, and low latency communications (URLLC). Since the mmWave signal is sensitive to blockage, accurate base station (BS) selection and beam searching are the premises of achieving the URLLC. In this paper, we consider the mmWave communications systems where mobile users are served by the roadside unit (RSU). We propose a multi-camera view based proactive RSU selection and beam searching scheme that can predict the optimal RSU for the user in the next frame and search the corresponding beam pair. The proposed scheme utilizes vision sensing and reduces training resources. In addition, the visual information of multiple views makes the selection of the optimal RSU more accurate and reliable compared to the existing single view technologies. Simulation results in an outdoor environment show the superior performance of the proposed scheme in terms of predicting accuracy and achievable rate.