Bhadauria S, Roshdi M, Shawky Hassan K, Fischer G (2021)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2021
Conference Proceedings Title: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC): International workshop on beyond 5G support for the future vehicular networks (IEEE PIMRC 2021 - WS3)
ISBN: 978-1-7281-7586-7
URI: https://ieeexplore.ieee.org/document/9569259
DOI: 10.1109/PIMRC50174.2021.9569259
In release 14 (Rel-14) Long Term Evolution (LTE), the 3rd generation partnership project (3GPP) standard has introduced Cellular Vehicle to Everything (C-V2X) communication to pave the way for future intelligent transport systems (ITS). C-V2X communication envisions supporting a diverse range of use cases with varying quality of service (QoS) requirements. For example, cooperative collision avoidance requires stringent reliability, while infotainment use cases require a high data throughput. C-V2X communication remains susceptible to performance degradation due to network congestion. This paper presents a centralized congestion control scheme for C-V2X communication based on the Deep Reinforcement Learning (DRL) framework. A performance evaluation of the algorithm is conducted based on system-level simulation based on TAPASCologne scenario in the Simulation of Urban Mobility (SUMO) platform. The results show the effectiveness of a DRL-based approach to achieve the packet reception ratio (PRR) as per the packet's associated QoS while maintaining the average measured Channel Busy Ratio (CBR) below 0.65.
APA:
Bhadauria, S., Roshdi, M., Shawky Hassan, K., & Fischer, G. (2021). Deep Reinforcement Learning Based Congestion Control for {V2X} Communication. In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC): International workshop on beyond 5G support for the future vehicular networks (IEEE PIMRC 2021 - WS3).
MLA:
Bhadauria, Shubhangi, et al. "Deep Reinforcement Learning Based Congestion Control for {V2X} Communication." Proceedings of the 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC): International workshop on beyond 5G support for the future vehicular networks (IEEE PIMRC 2021 - WS3) 2021.
BibTeX: Download