Fuzzy Logic-Based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks

• Published in: IEEE journal on selected areas in communications Vol. 39; no. 8; pp. 2501 - 2513
• Main Authors: Zhang, Minglong, Dou, Yi, Chong, Peter Han Joo, Chan, Henry C. B., Seet, Boon-Chong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-08-2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Algorithms; Cellular communication; Communications systems; Dynamic scheduling; Fuzzy logic; Interference; Network latency; Resource allocation; Resource management; Resource utilization; Safety; Urban areas; V2X communications; Vehicle dynamics; Vehicle-to-everything; vehicular networks; Wireless networks
• ISSN: 0733-8716; 1558-0008
• DOI: 10.1109/JSAC.2021.3087244

In this paper, we spotlight vehicle-to-everything (V2X) communications in 5G cellular networks. Cellular V2X (C-V2X) communications in 5G enable more advanced services with requirements of ultra-low latency and ultra-high reliability. How to make full use of the limited physical-layer resources is a key determinant to guarantee the quality of service (QoS). Therefore, resource allocation plays an essential role in exchanging information between vehicles, infrastructure, and other devices. In order to intelligently and reasonably allocate resources, a self-adaptive fuzzy logic-based strategy is developed in this paper. To evaluate the network performance for this adaptive strategy, a system model for V2X communications is built for urban areas, and typical safety and non-safety services are deployed in the network. Simulation results reveal that the proposed fuzzy logic-based algorithm can substantially improve resource utilization and satisfy the requirements of V2X services, compared with prior counterparts, which cannot provide guaranteed services due to low resource utilization.