Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations
The third-generation partnership project (3GPP) has introduced a new radio (NR) for vehicle-to-everything (V2X). It assigns Mode 2 to allow user equipment (UEs) to reserve and select radio resources autonomously. This paper comprehensively analyzes the NR-V2X Mode 2 performance, focusing on the pack...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11121166/ |
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| author | Mahmoud Elsharief Saifur Rahman Sabuj Nathan Jeong Han-Shin Jo |
| author_facet | Mahmoud Elsharief Saifur Rahman Sabuj Nathan Jeong Han-Shin Jo |
| author_sort | Mahmoud Elsharief |
| collection | DOAJ |
| description | The third-generation partnership project (3GPP) has introduced a new radio (NR) for vehicle-to-everything (V2X). It assigns Mode 2 to allow user equipment (UEs) to reserve and select radio resources autonomously. This paper comprehensively analyzes the NR-V2X Mode 2 performance, focusing on the packet reception ratio (PRR). PRR is a critical metric in evaluating the efficacy of vehicular networks. We propose an analytical model that correlates PRR with the distance between the transmitter and receiver. This model helps us understand NR-V2X Mode 2 communication in autonomous operation. We also conduct simulations to validate our model. These simulations reflect various vehicular traffic scenarios. Our findings reveal strategies to optimize resource allocation in NR-V2X Mode 2 networks. Specifically, altering specific parameters can notably enhance network performance. This research is valuable for both academic and industry circles. It provides insights into improving communications in autonomous vehicles. Moreover, it offers practical guidance for industry experts aiming to advance V2X communication in the era of autonomous driving. |
| format | Article |
| id | doaj-art-236ac87d61dd4f8d823991f259f43e1c |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-236ac87d61dd4f8d823991f259f43e1c2025-08-20T03:47:01ZengIEEEIEEE Access2169-35362025-01-011314163614165010.1109/ACCESS.2025.359694611121166Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and SimulationsMahmoud Elsharief0https://orcid.org/0000-0002-3037-6792Saifur Rahman Sabuj1https://orcid.org/0000-0002-7634-6994Nathan Jeong2https://orcid.org/0000-0003-4610-2208Han-Shin Jo3https://orcid.org/0000-0002-5738-1807Department of Automotive Engineering, Hanyang University, Seoul, South KoreaDepartment of Automotive Engineering, Hanyang University, Seoul, South KoreaDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USADepartment of Automotive Engineering, Hanyang University, Seoul, South KoreaThe third-generation partnership project (3GPP) has introduced a new radio (NR) for vehicle-to-everything (V2X). It assigns Mode 2 to allow user equipment (UEs) to reserve and select radio resources autonomously. This paper comprehensively analyzes the NR-V2X Mode 2 performance, focusing on the packet reception ratio (PRR). PRR is a critical metric in evaluating the efficacy of vehicular networks. We propose an analytical model that correlates PRR with the distance between the transmitter and receiver. This model helps us understand NR-V2X Mode 2 communication in autonomous operation. We also conduct simulations to validate our model. These simulations reflect various vehicular traffic scenarios. Our findings reveal strategies to optimize resource allocation in NR-V2X Mode 2 networks. Specifically, altering specific parameters can notably enhance network performance. This research is valuable for both academic and industry circles. It provides insights into improving communications in autonomous vehicles. Moreover, it offers practical guidance for industry experts aiming to advance V2X communication in the era of autonomous driving.https://ieeexplore.ieee.org/document/11121166/5GNR5G-V2X3GPPautonomous resource allocationNR-V2X |
| spellingShingle | Mahmoud Elsharief Saifur Rahman Sabuj Nathan Jeong Han-Shin Jo Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations IEEE Access 5G NR 5G-V2X 3GPP autonomous resource allocation NR-V2X |
| title | Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations |
| title_full | Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations |
| title_fullStr | Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations |
| title_full_unstemmed | Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations |
| title_short | Advancing NR-V2X: Evaluating Mode 2 Performance Through Analytical Modeling and Simulations |
| title_sort | advancing nr v2x evaluating mode 2 performance through analytical modeling and simulations |
| topic | 5G NR 5G-V2X 3GPP autonomous resource allocation NR-V2X |
| url | https://ieeexplore.ieee.org/document/11121166/ |
| work_keys_str_mv | AT mahmoudelsharief advancingnrv2xevaluatingmode2performancethroughanalyticalmodelingandsimulations AT saifurrahmansabuj advancingnrv2xevaluatingmode2performancethroughanalyticalmodelingandsimulations AT nathanjeong advancingnrv2xevaluatingmode2performancethroughanalyticalmodelingandsimulations AT hanshinjo advancingnrv2xevaluatingmode2performancethroughanalyticalmodelingandsimulations |