Adaptive Beam Design for V2I Communications Using Vehicle Tracking With Extended Kalman Filter
- Authors
- Hyun, Seong-Hwan; Song, Jiho; Kim, Keunwoo; Lee, Jong-Ho; Kim, Seong-Cheol
- Issue Date
- Jan-2022
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Array signal processing; Tracking; Vehicle-to-infrastructure; Wireless networks; Kalman filters; Uplink; Signal to noise ratio; Vehicle tracking; vehicular mobility; extended Kalman filter; millimeter wave V2I communications
- Citation
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.1, pp.489 - 502
- Journal Title
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Volume
- 71
- Number
- 1
- Start Page
- 489
- End Page
- 502
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42035
- DOI
- 10.1109/TVT.2021.3127696
- ISSN
- 0018-9545
- Abstract
- Vehicle-to-everything communication system is a strong candidate for improving the driving experience and automotive safety by linking vehicles to wireless networks. To take advantage of the full benefits of vehicle connectivity, it is essential to ensure a stable network connection between roadside unit (RSU) and fast-moving vehicles. Based on the extended Kalman filter (EKF), we develop a vehicle tracking algorithm to enable reliable radio connections. For the vehicle tracking algorithm, we focus on estimating the rapid changes in the beam direction of a high-mobility vehicle while reducing the feedback overhead. Furthermore, we design a beamforming codebook that considers the road layout and RSU. By leveraging the proposed beamforming codebook, vehicles on the road can expect a service quality similar to that of conventional cellular services. Finally, a beamformer selection algorithm is developed to secure sufficient gain for the system's link budget. Numerical results verify that the EKF-based vehicle tracking algorithm and the proposed beamforming structure are more suitable for vehicle-to-infrastructure networks compared to existing schemes.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/42035)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.