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Geo-Based Scheduling for C-V2X Networks
Open accessAbstract
Cellular vehicle-to-everything (C-V2X) networks can operate without cellular infrastructure support. Vehicles can autonomously select their radio resources using the sensing-based semi-persistent scheduling (SPS) algorithm specified by the Third Generation Partnership Project. The sensing nature of the SPS scheme makes C-V2X communications prone to the well-known hidden-terminal problem. To address this problem, this paper proposes a novel geo-based scheduling scheme that allows vehicles to autonomously select their radio resources based on the location and ordering of neighboring vehicles on the road. The proposed scheme results in an implicit resource selection coordination between vehicles (even with those outside the sensing range) that reduces packet collisions. This paper evaluates analytically and through simulations the proposed scheduling scheme. The obtained results demonstrate that it reduces packet collisions and significantly increases the C-V2X performance, compared to when using the sensing-based SPS scheme.
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“As a distributed ledger technology, blockchain offers secure and transparent resource allocation in future 6G sidelink communication networks.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [113]
In the citing paper
“A geographically-based novel scheduling scheme [92] and a new optimization framework [93] are introduced to optimize the synchronization resource coordination and minimize the total transmission power.”
From Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy (2025) · cites this paper as [92]
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References 14 · Cited by 59
Research works printed but not linked: 14
- 10.1109/MSN.2018.00014 · DOI
- 10.1109/VNC.2018.8628416 · DOI
- 10.3390/s18124388 · DOI · Paper page
- 10.1109/ACCESS.2018.2889190 · DOI
- 10.1109/MVT.2017.2752798 · DOI
- 10.1109/VTCFall.2018.8690754 · DOI
- 10.1109/DySPAN.2018.8610405 · DOI
- 10.23919/WONS.2019.8795500 · DOI
- 10.1109/TVT.2018.2888704 · DOI
- 10.1109/LWC.2019.2908165 · DOI
- 10.1109/VTCSpring.2017.8108463 · DOI
- 10.1109/ACCESS.2019.2908248 · DOI
- 10.1109/ACCESS.2018.2883401 · DOI
- 10.1109/VTCFall.2018.8690600 · DOI
Metadata
- Authors
- Molina-Masegosa, R., Sepulcre, M., & Gozalvez, J.
- Affiliations
- Universitat de Miguel Hernández d'Elx (ES)
- Venue
- IEEE Transactions on Vehicular Technology
- Published
- 2019-09
- Volume
- 68
- Issue
- 9
- Pages
- 8397-8407
- ISSN
- 0018-9545 (ISSN-L)
- 1939-9359
- OpenAlex
- W2954292242
- Cited by
- 59
- References
- 14
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 7 · 2023: 6 · 2022: 11 · 2021: 12 · 2020: 9 · 2019: 1
- FWCI
- 2.97
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Transactions on Vehicular Technology (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Spanish Ministry of Economy and Competitiveness and FEDER funds (PEJ-2014-A33622, TEC2017-88612-R)
- Conselleria de Educacion Investigacion Cultura y Deporte of Generalitat Valenciana (AICO/2018/A/095)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Network Optimization
- Keywords
- C-V2X, vehicle-to-everything communication, semi-persistent scheduling, hidden terminal problem, packet collisions, vehicle coordination, autonomous vehicles
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- The paper
- Molina-Masegosa, R., Sepulcre, M., & Gozalvez, J. (2019). Geo-Based Scheduling for C-V2X Networks. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2019.2924698
