The DOI matches its Crossref record; 11 of the 13 references it cites were found in a registry or an index.
Sidelink 5G-V2X for Integrated Sensing and Communication: the Impact of Resource Allocation
Abstract
This paper presents an analysis of the radar sensing capability of 5G vehicle-to-everything (V2X) communications in sidelink mode. The study focuses on the performance bounds on range and speed estimation with and without inter-vehicle interference. In particular, the impact of resource allocation policies on sensing performance is evaluated under different traffic conditions. The performance assessment is carried out through standard-compliant system-level simulations, and shows how the interference caused by the distributed resource allocation mechanism affects the radar sensing performance.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, conflicting performance requirements arise between radar sensing accuracy and communication reliability with the limited sidelink spectrum.”
From Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing (2025) · cites this paper as [28]
In the citing paper
“This interference significantly impacts the performance of the JCS system and reduces resource utilization efficiency [28].”
From Reinforcement Learning-Based Resource Allocation Scheme of NR-V2X Sidelink for Joint Communication and Sensing (2025) · cites this paper as [28]
Citations
Cites
Sturm, C., & Wiesbeck, W. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2131110 · Cited by 1,461
Automotive radars: A review of signal processing techniques
Patole, S., Torlak, M., Wang, D., & Ali, M. (2017) · IEEE Signal Processing Magazine · doi:10.1109/msp.2016.2628914 · Cited by 1,208
A tutorial on 5G NR V2X communications
Garcia, M. H. C., Molina-Galan, A., Boban, M., Gozalvez, J., Coll-Perales, B., Şahin, T., & Kousaridas, A. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3057017 · Cited by 975
IEEE 802.11ad-Based Radar: An Approach to Joint Vehicular Communication-Radar System
Kumari, P., Choi, J. J., Prelcic, N. G., & Heath, R. W. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2774762 · Cited by 707
IEEE 802.11bd & 5G NR V2X: Evolution of Radio Access Technologies for V2X Communications
Naik, G., Choudhury, B., & Park, J.-M. J. (2019) · IEEE Access · doi:10.1109/access.2019.2919489 · Cited by 581
Full Duplex Radio/Radar Technology: The Enabler for Advanced Joint Communication and Sensing
Barneto, C. B., Liyanaarachchi, S. D., Heino, M., Riihonen, T., & Valkama, M. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.001.2000220 · Cited by 233
Limited feedforward waveform design for OFDM dual-functional radar-communications
Keskin, M. F., Koivunen, V., & Wymeersch, H. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3076894 · Cited by 188
On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future
Bazzi, A., Berthet, A. O., Campolo, C., Masini, B. M., Molinaro, A., & Zanella, A. (2021) · IEEE Access · doi:10.1109/access.2021.3094161 · Cited by 153
Self-citationPerformance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator
Todisco, V., Bartoletti, S., Campolo, C., Molinaro, A., Berthet, A. O., & Bazzi, A. (2021) · IEEE Access · doi:10.1109/access.2021.3121151 · Cited by 142
Self-citationPerformance Analysis of Joint Radar and Communication using OFDM and OTFS
Gaudio, L., Kobayashi, M., Bissinger, B., & Caire, G. (2019) · 2019 IEEE International Conference on Communications Workshops (ICC Workshops) · doi:10.1109/iccw.2019.8757044 · Cited by 132
Research works printed but not linked: 4
- 2020, 3GPP TR 37.895 v16.0.0, overall description of radio access network (RAN) aspects for vehicle-to-everything (V2X) based on LTE and NR; Release 16
- 10.1109/MWC.2019.1800328 · DOI
- Pucci, 2021, Perfor-mance analysis of joint sensing and communication based on 5G new radio, 1
- 2016, 3GPP TR 36.885 v14.0.0, technical specification group radio access network; study on LTE-based V2X services; Release 14
Cited by
Sorted by citations
Yusuf, S. A., Khan, A. A., & Souissi, R. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100980 · Cited by 192
Automotive Radar Optimization Design in a Spectrally Crowded V2I Communication Environment
Yao, Y., Shu, F., Cheng, X., Liu, H., Miao, P., & Wu, L. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3264507 · Cited by 180
A RIS-Based Vehicle DOA Estimation Method With Integrated Sensing and Communication System
Chen, Z., Chen, P., Guo, Z., Zhang, Y., & Wang, X. (2023) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2023.3330172 · Cited by 91
V2X Sidelink Localization of Connected Automated Vehicles
Decarli, N., Guerra, A., Giovannetti, C., Guidi, F., & Masini, B. M. (2023) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2023.3322853 · Cited by 42
Self-citationPerformance Characterization of Joint Communication and Sensing With Beyond 5G NR-V2X Sidelink
Decarli, N., Bartoletti, S., Bazzi, A., Stirling-Gallacher, R. A., & Masini, B. M. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3365770 · Cited by 35
Self-citationNR Sidelink Performance Evaluation for Enhanced 5G-V2X Services
Tabassum, M., Bastos, F. H., Oliveira, A., & Klautau, A. (2023) · Vehicles · doi:10.3390/vehicles5040092 · Cited by 20
Target Positioning Accuracy of V2X Sidelink Joint Communication and Sensing
Giovannetti, C., Decarli, N., Bartoletti, S., Stirling-Gallacher, R. A., & Masini, B. M. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3346937 · Cited by 20
Self-citationLi, Z., Wang, P., Shen, Y., & Li, S. (2025) · Sensors · doi:10.3390/s25020302 · Cited by 15
Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks
Kilanioti, I., Rizzo, G., Masini, B. M., Bazzi, A., Osorio, D. P. M., Linsalata, F., Magarini, M., Löschenbrand, D., Zemen, T., & Kliks, A. (2022) · IEEE Conference on Standards for Communications and Networking · doi:10.1109/cscn57023.2022.10050942 · Cited by 13
Self-citationRadar-Enabled Resource Allocation in 5G-V2X Sidelink Communication
Shah, S. N. H., Martín‐Sacristán, D., Ravelo, C., Smeenk, C., Schneider, C., & Robert, J. (2023) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc57777.2023.10422629 · Cited by 9
Joint Optimization of Beamforming and 3D Array-Steering for UAV-Aided ISAC
Pei, F., Xiang, L., & Klein, A. (2024) · International Conference on Communications · doi:10.1109/icc51166.2024.10622806 · Cited by 9
Shan, K., Penlington, M., Gunner, S., Koufos, K., Dianati, M., Fairgrieve, A., & Kirwan, I. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3424673 · Cited by 10
Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG
Zhong, Z., & Peng, Z. (2025) · IEEE Access · doi:10.1109/access.2025.3527049 · Cited by 11
Positioning Integrity via Uncertainty Quantification
Bartoletti, S., Palamà, I., Chiaraviglio, L., Razavi, S. M., Zhao, Y., Bianchi, G., & Bléfari-Melazzi, N. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3457861 · Cited by 7
Self-citationPerformance Analysis and Optimization of ISAC Vehicular Networks with 360° Radar Detection
Wang, L., Zhang, Y., Shan, H., Chen, C., Hou, F., Ghafoor, H., & Cheng, Y. (2024) · IEEE/CIC International Conference on Communications in China (ICCC) · doi:10.1109/iccc62479.2024.10682039 · Cited by 4
SPYDER: QoS-Aware Radio Resource Allocation in Multiuser ISAC-Capable C-V2X Networks
Shah, S. N. H., Khan, A., Schneider, C., & Robert, J. (2025) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2025.3558126 · Cited by 4
A Study on Adaptive User Equipment Aggregation Mechanism for Future Internet of Things Network
Zhao, X., Chen, H., Fang, R., Li, H., Chen, T., & Fang, C. (2023) · International Conference on Frontiers of Electronics, Information and Computation Technologies · doi:10.1109/icfeict59519.2023.00073 · Cited by 4
Near-Field Localization of Vehicles Based on V2X Sidelink Communication
Decarli, N., Guerra, A., Giovannetti, C., Guidi, F., & Masini, B. M. (2023) · IEEE International Conference on Communications workshops · doi:10.1109/iccworkshops57953.2023.10283581 · Cited by 3
Self-citationA reconfigurable RF front-end for 5G direct sampling receivers with an optimized calibration scheme
Ghotbi, I., Behmanesh, B., & Törmänen, M. (2024) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2023.155112 · Cited by 3
Efficient Localization via Soft Information With Generic Sensing Measurements
Bartoletti, S., Mazuelas, S., Conti, A., & Win, M. Z. (2025) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2025.3540081 · Cited by 2
Self-citationI-SCOUT: Integrated Sensing and Communications to Uncover Moving Targets in NextG Networks
Demir, U., Davaslıoğlu, K., Sagduyu, Y. E., Erpek, T., Anderson, G., & Kompella, S. (2024) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom61039.2024.10774037 · Cited by 2
Performance Evaluation of Contention-based Channel Access for mmWave Sidelink Communications
Brighenti, A., Drago, M., Zugno, T., Zorzi, M., & Casari, P. (2022) · IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD) · doi:10.1109/camad55695.2022.9966910 · Cited by 1
Yao, J., Wang, Z., Zhang, C., & Hui, H. (2024) · Sensors · doi:10.3390/s24155061 · Cited by 1
Future-Proofing 6G V2X Sidelink Connectivity: Scheduling and Adaptive Beamforming Integration
Annu, A., & Rajalakshmi, P. (2024) · IEEE International Black Sea Conference on Communications and Networking · doi:10.1109/blackseacom61746.2024.10646246
Kagai, F., Murtaza, M., Arachchige, K. G., & Albahlal, B. M. (2026) · IEEE Access · doi:10.1109/access.2026.3722724
Structurally Optimal Sensing-Slot Placement for TD-ISAC in NR-V2X Mode 2
Fooladi, V., Azmi, P., & Mokari, N. (2026) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2026.3726488
Metadata
- Authors
- Bartoletti, S., Decarli, N., & Masini, B. M.
- Affiliations
- Institute of Electronics, Computer and Telecommunication Engineering (IT)
- CNR-IEIIT and CNIT,Bologna,Italy
- Venue
- 2022 IEEE International Conference on Communications Workshops (ICC Workshops)
- Publisher
- IEEE
- Published
- 2022-05-16
- Pages
- 79-84
- ISSN
- 2164-7038 (ISSN-L)
- OpenAlex
- W4285047788
- Cited by
- 26
- References
- 13
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 9 · 2023: 9 · 2022: 2
- FWCI
- 9.71
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Communications workshops (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Keywords
- 5G-V2X, vehicle-to-everything communication, sidelink, integrated sensing and communication, radar sensing, resource allocation, range estimation, velocity estimation, performance bounds, traffic conditions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review