Performance Analysis of Sensing-based Semi-Persistent Scheduling (SB-SPS) MAC Protocol for C-V2X

Main Article Content

Rayan Hamza Alsisi
Mushahid Hussain
Muhammad Awais Javed
Mohammad Zubair Khan
Abdulrahman Alahmadi
Ahmed H. Alahmadi

Abstract

Sensing-based Semi-Persistent Scheduling (SB-SPS) MAC protocol is proposed as part of the latest cellular vehicle to everything (C-V2X) standard for medium access between vehicles. As C-V2X uses LTE based frame structure, mode 4 of the C-V2X standard uses SB-SPS to allocate resource blocks effectively. C-V2X shows great potential for the future as it brings many improvements such as enhanced range, reliability, and the ability to support and evolve with emerging technologies such as 5G. In this article, the SB-SPS protocol’s performance was analyzed in different scenarios using OMNET++, SUMO, and Veins simulator. Different vehicle speeds and densities were used to observe the effect on packet loss and throughput. It was found that as packet loss decreased, throughput increased when the mobility of vehicles decreased. The effects of changing some important parameters of SB-SPS were also observed. The results showed that while parameters such as increasing the number of subchannels increased the packet delivery ratio (PDR), the change in the probability of resource reselection parameter did not affect the PDR.

Article Details

How to Cite
Alsisi, R. H. ., Hussain, M. ., Javed, M. A. ., Khan, M. Z. ., Alahmadi, A. ., & Alahmadi, A. H. . (2023). Performance Analysis of Sensing-based Semi-Persistent Scheduling (SB-SPS) MAC Protocol for C-V2X. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11s), 480–486. https://doi.org/10.17762/ijritcc.v11i11s.8177
Section
Articles

References

Mohammad Zubair Khan, Muhammad Awais Javed, Hamza Ghandorh, Omar H. Alhazmi, Khalid S. Aloufi, Interference-Aware Transmission Scheduling for Internet of Vehicles, Intelligent Automation & Soft Computing, vol. 33, no. 1, pp. 305-315, 2022.

Mohammad Zubair Khan, Muhammad Awais Javed, Hamza Ghandorh, Omar H. Alhazmi, Khalid S. Aloufi, NA-SMT: A Network-Assisted Service Message Transmission Protocol for reliable IoV communications, IEEE Access, vol. 9, pp. 149542-149551, 2021.

E. Uhlemann, "Introducing connected vehicles [Connected vehicles]," IEEE Vehicular Technology Magazine, vol. 10, no. 1, 1 3 2015.

M. Gonzalez-Martin, M. Sepulcre, R. Molina-Masegosa, and J. Gozalvez, "Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications," IEEE Transactions on Vehicular Technology, vol. 68, no. 2, pp. 1155-1166, 2019.

B. Toghi, M. Saifuddin, H. N. Mahjoub, M. O. Mughal, Y. P. Fallah, J. Rao and S. Das, "Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular Networks," in IEEE Vehicular Networking Conference, VNC, 2019.

A. Nabil, K. Kaur, C. DIetrich and V. Marojevic, "Performance Analysis of Sensing-Based Semi-Persistent Scheduling in C-V2X Networks," in IEEE Vehicular Technology Conference, 2019.

R. Molina-Masegosa and J. Gozalvez, "System Level Evaluation of LTE-V2V Mode 4 Communications and Its Distributed Scheduling," in IEEE Vehicular Technology Conference, 2017.

F. Borgonovo, F. Borgonovo, A. Capone, M. Cesana and L. Fratta, "RR-ALOHA, a Reliable R-ALOHA broadcast channel for ad-hoc inter-vehicle communication networks," IN: PROCEEDINGS OF MED-HOC-NET 2002, 2002.

F. Borgonovo, A. Capone, M. Cesana and L. Fratta, "ADHOC MAC: New MAC architecture for ad hoc networks providing efficient and reliable point-to-point and broadcast services," in Wireless Networks, 2004.

Assef Raad Hmeed, Jamal A. Hammad, Ahmed J. Obaid. (2023). Enhanced Quality of Service (QoS) for MANET Routing Protocol Using a Distance Routing Effect Algorithm for Mobility (DREAM). International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 409–417. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2687.

H. A. Omar, W. Zhuang and L. Li, "VeMAC: A TDMA-based MAC protocol for reliable broadcast in VANETs," IEEE Transactions on Mobile Computing, vol. 12, no. 9, pp. 1724-1736, 2013.

L. Gallo and J. Harri, "Analytical study of Self Organizing TDMA for V2X communications," in 2015 IEEE International Conference on Communication Workshop, ICCW 2015, 2015.

S. Bharati and W. Zhuang, "CAH-MAC: Cooperative ADHOC MAC for vehicular networks," IEEE Journal on Selected Areas in Communications, vol. 31, no. 9, pp. 470-479, 2013.

J. Huang, Q. Li, S. Zhong, L. Liu, P. Zhong, J. Wang and J. Ye, "Synthesizing existing CSMA and TDMA based MAC protocols for VANETs," Sensors (Switzerland), vol. 17, no. 2, 10 2 2017.

M. Hadded, P. Muhlethaler, A. Laouiti, R. Zagrouba and L. A. Saidane, "TDMA-Based MAC Protocols for Vehicular Ad Hoc Networks: A Survey, Qualitative Analysis, and Open Research Issues," IEEE Communications Surveys and Tutorials, vol. 17, no. 4, pp. 2461-2492, 1 10 2015.

Mr. Rahul Sharma. (2018). Monitoring of Drainage System in Urban Using Device Free Localization Neural Networks and Cloud computing. International Journal of New Practices in Management and Engineering, 7(04), 08 - 14. https://doi.org/10.17762/ijnpme.v7i04.69.

X. Fan, C. Wang, J. Yu, K. Xing, Y. Chen and J. Liang, "A Reliable broadcast protocol in vehicular Ad Hoc Networks," International Journal of Distributed Sensor Networks, vol. 2015, 2015.

J. J. Blum and A. Eskandarian, "A reliable link-layer protocol for robust and scalable intervehicle communications," in IEEE Transactions on Intelligent Transportation Systems, 2007.

F. Watanabe, M. Fujii, M. Itami and K. Itoh, "An analysis of incident information transmission performance using MCS/CDMA scheme," in IEEE Intelligent Vehicles Symposium, Proceedings, 2005.

H. Nakata, T. Inoue, M. Itami and K. Itoh, "A study of inter vehicle communication scheme allocating PN codes to the location on the road," in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2003.

R. Molina-Masegosa, J. Gozalvez and M. Sepulcre, "Configuration of the C-V2X Mode 4 Sidelink PC5 Interface for Vehicular Communication," in Proceedings - 14th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2018, 2018.

Mondal, D., & Patil, S. S. (2022). EEG Signal Classification with Machine Learning model using PCA feature selection with Modified Hilbert transformation for Brain-Computer Interface Application. Machine Learning Applications in Engineering Education and Management, 2(1), 11–19. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/20.

A. Bazzi, G. Cecchini, B. M. Masini and A. Zanella, "Study of the Impact of PHY and MAC Parameters in 3GPP C-V2V Mode 4," IEEE Access, vol. 6, pp. 71685-71698, 27 7 2018.

B. McCarthy, A. Burbano-Abril, V. Rangel-Licea and A. O'Driscoll, “OpenCV2X: Modelling of the V2X Cellular Sidelink and Performance Evaluation for Aperiodic Traffic.” ArXiv abs/2103.13212 (2021): n. pag.

G. Cecchini, A. Bazzi, B. M. Masini and A. Zanella, "LTEV2Vsim: An LTE-V2V simulator for the investigation of resource allocation for cooperative awareness," in 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings, 2017.