Sensing Resources Reduction for Vehicle Detection with Integrated Sensing and Communications
Ravelo C, Martín-Sacristán D, Haider Shah SN, Smeenk C, Del Galdo G, Monserrat JF (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2023-June
Conference Proceedings Title: IEEE Vehicular Technology Conference
Event location: Florence, ITA
ISBN: 9798350311143
DOI: 10.1109/VTC2023-Spring57618.2023.10199358
Abstract
Integrated Sensing and Communications (ISAC) aims at incorporating radar and communications functionalities into a single system, achieving higher spectral efficiency through their joint operation. This paper proposes a methodology for reducing resource elements and scanning beams used in the target detection stage of ISAC. Building upon the well-known symbol domain Orthogonal Frequency Division Multiplexing (OFDM) ISAC processing algorithm, its relevant characteristics and limits are considered to minimize the periodicity of sensing resource elements. Moreover, a methodology for finding the required beams to sense a scenario using the radar range equation in a link-budget analysis is proposed and later illustrated via simulations. The simulations show that it is possible to cover a road scenario using a limited number of beams and resource elements from a New Radio (NR) OFDM frame.
Involved external institutions
5G Communications for Future Industry Verticals, S.L. (Fivecomm)
Spain (ES)
Technische Universität Ilmenau
Germany (DE)
Fraunhofer-Institut für Integrierte Schaltungen (IIS)
Germany (DE)
Polytechnic University of Valencia / Universidad Politécnica de Valencia
Spain (ES)
Spain (ES)
Technische Universität Ilmenau
Germany (DE)
Fraunhofer-Institut für Integrierte Schaltungen (IIS)
Germany (DE)
Polytechnic University of Valencia / Universidad Politécnica de Valencia
Spain (ES)
How to cite
APA:
Ravelo, C., Martín-Sacristán, D., Haider Shah, S.N., Smeenk, C., Del Galdo, G., & Monserrat, J.F. (2023). Sensing Resources Reduction for Vehicle Detection with Integrated Sensing and Communications. In IEEE Vehicular Technology Conference. Florence, ITA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Ravelo, Carlos, et al. "Sensing Resources Reduction for Vehicle Detection with Integrated Sensing and Communications." Proceedings of the 97th IEEE Vehicular Technology Conference, VTC 2023-Spring, Florence, ITA Institute of Electrical and Electronics Engineers Inc., 2023.
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