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A Markov perspective on C-V2X mode 4 |
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| Author: | Wijesiri N.B.A, Geeth P.1,2,3; Haapola, Jussi1; Samarasinghe, Tharaka4,5 |
| Organizations: |
1Center for Wireless Communications, University of Oulu, Finland 2University of Moratuwa, Sri Lanka 3University of Ruhuna, Sri Lanka
4Dept. of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka
5University of Melbourne, Australia |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.3 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2019111237810 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2019
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| Publish Date: | 2019-11-12 |
| Description: |
AbstractThis paper proposes a multi-dimensional Markov model to evaluate the medium access control (MAC) layer performance of 3GPP cellular vehicle to everything (V2X) Mode 4. The Mode 4 specifications enable quality of service guarantees in a decentralized manner, without the connectivity of a cellular base station, and therefore, ideal for V2X messaging in intelligent transportation systems (ITS). To this end, periodic cooperative aware messages (CAMs) and event triggered decentralized environmental notification messages (DENMs) are considered in the paper. The discrete time Markov model consists of a node model, a queue model, and traffic generators for CAM and DENM packets that are dependent and solved in closed form and iteratively. The model is applied to a highway scenario to provide insights on the average delay, the collision probability, and the channel utilization in Mode 4. The results show that Mode 4 has been partially over-specified for ITS applications and able to serve CAMs and DENMs conveniently. However, there exists locally optimal combinations of CAM and DENM intervals that can lead to lower average delay. see all
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| Series: |
IEEE Vehicular Technology Conference |
| ISSN: | 1090-3038 |
| ISSN-L: | 1090-3038 |
| ISBN: | 978-1-7281-1220-6 |
| ISBN Print: | 978-1-7281-1221-3 |
| Pages: | 1 - 6 |
| DOI: | 10.1109/VTCFall.2019.8891331 |
| OADOI: | https://oadoi.org/10.1109/VTCFall.2019.8891331 |
| Host publication: |
2019 IEEE 90 th Vehicular Technology Conference (VTC Fall). 22-25 September 2019, Honolulu, Hawaii, USA |
| Conference: |
IEEE Vehicular Technology Conference |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This research has been partially financially supported by the ITEA3 project APPSTACLE (15017) and Academy of Finland 6Genesis Flagship (grant 318927). |
| Academy of Finland Grant Number: |
318927 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) |
| Copyright information: |
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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