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R-Comm: A Traffic Based Approach for Joint Vehicular Radar-Communication
- Source :
- IEEE Transactions on Intelligent Vehicles. 7:83-92
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Automotive radar and vehicular communication are the two primary means of establishing an intelligent transportation system. However, both the systems are susceptible to interference. The inter-vehicular interference significantly affects the radar and communication performance, especially in the dense traffic scenarios. In this work, we have shown that lowering down radar range in dense traffic scenario provides twofold advantages; (a) it reduces radar-to-radar interference and, (b) it provides resources to support the vehicular communication. We propose a joint Radar-Communication (R-Comm) algorithm which enables connected vehicles to use a fraction of radar resources for vehicular communication based on the traffic density. Also, two different schemes have been proposed for R-Comm transmission in the sparse and dense traffic scenarios. Further, through simulation results, it is shown that R-Comm benefits both the radar and communication systems.
- Subjects :
- Control and Optimization
Computer science
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Real-time computing
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Communications system
Interference (wave propagation)
law.invention
Transmission (telecommunications)
Artificial Intelligence
law
Automotive radar
Automotive Engineering
Range (statistics)
Radar
Joint (audio engineering)
Intelligent transportation system
Subjects
Details
- ISSN :
- 23798904 and 23798858
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Intelligent Vehicles
- Accession number :
- edsair.doi...........6f07880c947cab9b36aba4f02a47e37a