KNN-BASED MIXED NUMEROLOGY RESOURCE ALLOCATION FOR 5G-V2X COMMUNICATIONS
Main Article Content
Abstract
5G-V2X is an emerging technology for vehicular networks where radio resource allocation plays a crucial role in the overall network performance. In this paper, we highlight the resource scheduling problem for two V2X applications, the safety applications and the non-safety applications, in a mixed numerology scenario in which different 5G numerologies are multiplexed in the time domain. Machine learning is leveraged to select the best numerology. The K-Nearest Neighbor (KNN) algorithm learns the channel characteristics to obtain the optimal numerology selection. A priority policy is applied in favor of the safety traffic since this is the most time-constrained V2X traffic type. Then, the remaining resources are optimally scheduled for the non-safety traffic. The simulation results show that the proposed Priority and Satisfaction-based Resource Allocation algorithm with KNN mixed numerology for 5G-V2X communications (PSRA-KNN) algorithm achieves better performance in terms of end-to-end delay for safety traffic.
Keywords
5G-V2X, resource allocation, 5G numerology, machine learning, KNN
Article Details
References
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Khabaz, S., Boulila, K. O., Nguyen, T. M. T., Pujolle, G., & Velloso, P. (2022, October). A comprehensive study of the impact of 5G numerologies on V2X communications. In Proceedings of the 13th International Conference on Network of the Future (NoF). IEEE.
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Khabaz, S., Boulila, K. O., Nguyen, T. M. T., Pujolle, G., & Velloso, P. (2022). A new priority and satisfaction-based resource allocation algorithm with mixed numerology for 5G-V2X communications. In Proceedings of the 14th IFIP Wireless and Mobile Networking Conference (WMNC). IEEE.
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Khabaz, S., Boulila, K. O., Nguyen, T. M. T., Pujolle, G., & Velloso, P. (2022, October). A comprehensive study of the impact of 5G numerologies on V2X communications. In Proceedings of the 13th International Conference on Network of the Future (NoF). IEEE.
ETSI. (2014). Intelligent transport systems (ITS), Vehicular Communications, Basic Set of Applications, Part 2: Specification of Cooperative Awareness Basic Service. ETSI EN 302 637-2 V1.3.1.
ETSI. (2020). 5G study on New Radio (NR) Access Technology. ETSI TR 138 912 V16.0.0.
3GPP. (2020). Overall description of Radio Access Network (RAN) aspects for Vehicle-to-everything (V2X) based on LTE and NR. 3GPP TR 37.985.
Song, X., Miao, J., Lei, L., & Zhang, T. (2020). Maximum-throughput sidelink resource allocation for NR-V2X networks with energy-efficient CSI transmission. IEEE Access, 8, 73164–73172.
Abbas, F., Liu, G., Fan, P., Khan, Z., & Bute, M. S. (2020). A vehicle density-based two-stage resource management scheme for 5G-V2X networks. In Proceedings of the IEEE 91st Vehicular Technology Conference (VTC2020-Spring) IEEE.
Gao, J., Khandaker, M. R. A., Tariq, F., Wong, K. K., & Khan, R. T. (2019). Deep neural network-based resource allocation for V2X communications. In Proceedings of the IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
Khabaz, S., Boulila, K. O., Nguyen, T. M. T., Pujolle, G., & Velloso, P. (2022). A new priority and satisfaction-based resource allocation algorithm with mixed numerology for 5G-V2X communications. In Proceedings of the 14th IFIP Wireless and Mobile Networking Conference (WMNC). IEEE.
Jain, R. K., Chiu, D. M., & Hawe, W. R. (1994). A quantitative measure of fairness and discrimination for resource allocation in shared computer systems (Technical Report). Eastern Research Lab.
Simu5G. (2024). Simu5G: A simulator for 5G networks. [https://simu5g.org/
OMNeT++](https://simu5g.org/
OMNeT++). (2024). OMNeT++ discrete event simulator. [https://omnetpp.org/
SUMO](https://omnetpp.org/
SUMO). (2024). Simulation of urban mobility (SUMO). [https://sourceforge.net/projects/sumo/
Veins](https://sourceforge.net/projects/sumo/
Veins). (2024). Veins vehicular network simulation framework. [https://veins.car2x.org/
Sirhan](https://veins.car2x.org/
Sirhan), N. N., & Martinez-Ramon, M. (2022). LTE cellular networks packet scheduling algorithms in downlink and uplink transmission: A survey. International Journal of Wireless & Mobile Networks, 14(2), 1–18.