Details
Original language | English |
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Title of host publication | 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 7 |
ISBN (electronic) | 9781665482431 |
ISBN (print) | 978-1-6654-8244-8 |
Publication status | Published - 2022 |
Event | 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring - Helsinki, Finland Duration: 19 Jun 2022 → 22 Jun 2022 |
Publication series
Name | IEEE Vehicular Technology Conference |
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Volume | 2022-June |
ISSN (Print) | 1550-2252 |
Abstract
In the recent years we are experiencing a roll-out of Connected Vehicles (CVs) in Europe. At the same time, a high number of new facilities are being developed for them. Sending such a high amount of information makes a wise allocation of channel resources indispensable. It is also important for the scarce resources to be divided between the stations. Decentralized Congestion Control (DCC) was developed to address these issues. However, due to the agnostic nature of the communication protocol stack, higher layers are not aware of the delay and packet-drop that DCC causes. For this reason the facilities layer part of DCC (DCC_Fac) has been designed. We have implemented the newly developed mechanism by the European Telecommunications Standards Institute (ETSI) on a simulation framework and tested it under demanding conditions with different communication channel loads and traffic densities in a highway scenario. This paper evaluates if DCC_Fac can mitigate some of the shortcomings of the existing DCC mechanism. To the best of our knowledge this is the first paper assessing the newly developed congestion controller. From our work, we find out that the new mechanism effectively prevents packets from being dropped in the queues of access layer DCC (DCC_Acc). Furthermore, DCC_Fac is able to maintain a significantly lower end-to-end delay in high interference scenarios. In the end we show that it also delivers better inter-packet gaps for high-priority messages than the existing mechanism. In conclusion to our work, we confirm the added value of DCC_Fac.
Keywords
- DCC, DCC_Acc, DCC_Fac, resource allocation
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Electrical and Electronic Engineering
- Mathematics(all)
- Applied Mathematics
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2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (IEEE Vehicular Technology Conference; Vol. 2022-June).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Benefits of DCC Facilities in ITS-G5 Networks
T2 - 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring
AU - Xhoxhi, Edmir
AU - Schiegg, Florian
N1 - Funding Information: This paper was funded by the Deutsche Forschungsgemein-schaft (DFG, German Research Foundation) - project number 227198829 / GRK1931.
PY - 2022
Y1 - 2022
N2 - In the recent years we are experiencing a roll-out of Connected Vehicles (CVs) in Europe. At the same time, a high number of new facilities are being developed for them. Sending such a high amount of information makes a wise allocation of channel resources indispensable. It is also important for the scarce resources to be divided between the stations. Decentralized Congestion Control (DCC) was developed to address these issues. However, due to the agnostic nature of the communication protocol stack, higher layers are not aware of the delay and packet-drop that DCC causes. For this reason the facilities layer part of DCC (DCC_Fac) has been designed. We have implemented the newly developed mechanism by the European Telecommunications Standards Institute (ETSI) on a simulation framework and tested it under demanding conditions with different communication channel loads and traffic densities in a highway scenario. This paper evaluates if DCC_Fac can mitigate some of the shortcomings of the existing DCC mechanism. To the best of our knowledge this is the first paper assessing the newly developed congestion controller. From our work, we find out that the new mechanism effectively prevents packets from being dropped in the queues of access layer DCC (DCC_Acc). Furthermore, DCC_Fac is able to maintain a significantly lower end-to-end delay in high interference scenarios. In the end we show that it also delivers better inter-packet gaps for high-priority messages than the existing mechanism. In conclusion to our work, we confirm the added value of DCC_Fac.
AB - In the recent years we are experiencing a roll-out of Connected Vehicles (CVs) in Europe. At the same time, a high number of new facilities are being developed for them. Sending such a high amount of information makes a wise allocation of channel resources indispensable. It is also important for the scarce resources to be divided between the stations. Decentralized Congestion Control (DCC) was developed to address these issues. However, due to the agnostic nature of the communication protocol stack, higher layers are not aware of the delay and packet-drop that DCC causes. For this reason the facilities layer part of DCC (DCC_Fac) has been designed. We have implemented the newly developed mechanism by the European Telecommunications Standards Institute (ETSI) on a simulation framework and tested it under demanding conditions with different communication channel loads and traffic densities in a highway scenario. This paper evaluates if DCC_Fac can mitigate some of the shortcomings of the existing DCC mechanism. To the best of our knowledge this is the first paper assessing the newly developed congestion controller. From our work, we find out that the new mechanism effectively prevents packets from being dropped in the queues of access layer DCC (DCC_Acc). Furthermore, DCC_Fac is able to maintain a significantly lower end-to-end delay in high interference scenarios. In the end we show that it also delivers better inter-packet gaps for high-priority messages than the existing mechanism. In conclusion to our work, we confirm the added value of DCC_Fac.
KW - DCC
KW - DCC_Acc
KW - DCC_Fac
KW - resource allocation
UR - http://www.scopus.com/inward/record.url?scp=85137817023&partnerID=8YFLogxK
U2 - 10.1109/VTC2022-Spring54318.2022.9860904
DO - 10.1109/VTC2022-Spring54318.2022.9860904
M3 - Conference contribution
AN - SCOPUS:85137817023
SN - 978-1-6654-8244-8
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 June 2022 through 22 June 2022
ER -