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

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...

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Veröffentlicht in:IEEE journal on selected areas in communications Jg. 39; H. 8; S. 2501 - 2513
Hauptverfasser: Zhang, Minglong, Dou, Yi, Chong, Peter Han Joo, Chan, Henry C. B., Seet, Boon-Chong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.08.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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
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Abstract 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.
AbstractList 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.
Author Dou, Yi
Chong, Peter Han Joo
Zhang, Minglong
Chan, Henry C. B.
Seet, Boon-Chong
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Snippet In this paper, we spotlight vehicle-to-everything (V2X) communications in 5G cellular networks. Cellular V2X (C-V2X) communications in 5G enable more advanced...
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SubjectTerms 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
Title Fuzzy Logic-Based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks
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