中文版 | English
Title

Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets

Author
Corresponding AuthorLiu,Fan
Publication Years
2022
DOI
Source Title
ISSN
1536-1276
EISSN
1558-2248
VolumePPIssue:99Pages:1-1
Abstract

We investigate sensing-assisted beamforming for vehicle-to-infrastructure (V2I) communication by exploiting integrated sensing and communications (ISAC) functionalities at the roadside unit (RSU). The RSU deploys a massive multi-input-multi-output (mMIMO) array at mmWave. The pencil-sharp mMIMO beams and fine range-resolution implicate that the point-target assumption is impractical, as the vehicle’s geometry becomes essential. Therefore, the communication receiver (CR) may never lie in the beam, even when the vehicle is accurately tracked. To tackle this problem, we consider the extended target with two novel schemes. For the first scheme, the beamwidth is adjusted in real-time to cover the entire vehicle, followed by an extended Kalman filter to predict and track the position of CR according to resolved scatterers. An upgraded scheme is proposed by splitting each transmission block into two stages. The first stage is exploited for ISAC with a wide beam. Based on the sensed results at the first stage, the second stage is dedicated to communication with a pencil-sharp beam, yielding significant communication improvements. We reveal the inherent tradeoff between the two stages in terms of their durations, and develop an optimal allocation strategy that maximizes the average achievable rate. Finally, simulations verify the superiorities of proposed schemes over state-of-the-art methods.

Keywords
URL[Source Record]
Indexed By
EI ; SCI
Language
English
SUSTech Authorship
Corresponding
Funding Project
National Natural Science Foundation of China["62101234","U20B2039"] ; Shenzhen Outstanding Scientific and Technological Innovation Talents Training Project[RCBS20210609103227018] ; Young Elite Scientist Sponsorship Program by the China Association for Science and Technology (CAST)[YESS20210055]
WOS Research Area
Engineering ; Telecommunications
WOS Subject
Engineering, Electrical & Electronic ; Telecommunications
WOS Accession No
WOS:001005672500003
Publisher
EI Accession Number
20224613124427
EI Keywords
Beamforming ; Kalman Filters ; MIMO Systems ; Target Tracking ; Vehicle To Vehicle Communications
ESI Classification Code
Electromagnetic Waves In Relation To Various Structures:711.2 ; Radio Systems And Equipment:716.3
ESI Research Field
COMPUTER SCIENCE
Scopus EID
2-s2.0-85141548766
Data Source
Scopus
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9947033
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/411909
DepartmentDepartment of Electrical and Electronic Engineering
Affiliation
1.School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
2.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China
3.Department of Electronic and Electrical Engineering, University College London, London, U.K
4.School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
5.ZTE Corporation, Shenzhen, China
6.Electrical Engineering and Computer Science Department, Technische Universität Berlin, Berlin, Germany
Corresponding Author AffilicationDepartment of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
Du,Zhen,Liu,Fan,Yuan,Weijie,et al. Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2022,PP(99):1-1.
APA
Du,Zhen.,Liu,Fan.,Yuan,Weijie.,Masouros,Christos.,Zhang,Zenghui.,...&Caire,Giuseppe.(2022).Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,PP(99),1-1.
MLA
Du,Zhen,et al."Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS PP.99(2022):1-1.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Du,Zhen]'s Articles
[Liu,Fan]'s Articles
[Yuan,Weijie]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Du,Zhen]'s Articles
[Liu,Fan]'s Articles
[Yuan,Weijie]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Du,Zhen]'s Articles
[Liu,Fan]'s Articles
[Yuan,Weijie]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.