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

Minglong Zhang; Yi Dou; Peter H. J. Chong; Chun Bun Henry Chan; B.C. Seet

doi:10.1109/JSAC.2021.3087244

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

Minglong Zhang
, Yi Dou
, Peter H. J. Chong
, Chun Bun Henry Chan
, B.C. Seet

Research output: Journal article publication › Journal article › Academic research › peer-review

61 Citations (Scopus)

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.

Original language	English
Article number	9448149
Pages (from-to)	2501-2513
Number of pages	13
Journal	IEEE Journal on Selected Areas in Communications
Volume	39
Issue number	8
DOIs	https://doi.org/10.1109/JSAC.2021.3087244
Publication status	Published - Aug 2021

Keywords

5G
V2X communications
fuzzy logic
resource allocation
vehicular networks

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

More information

10.1109/JSAC.2021.3087244

http://hdl.handle.net/10397/94193

Cite this

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title = "Fuzzy Logic-based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks",

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.",

keywords = "5G, V2X communications, fuzzy logic, resource allocation, vehicular networks",

author = "Minglong Zhang and Yi Dou and Chong, \{Peter H. J.\} and Chan, \{Chun Bun Henry\} and B.C. Seet",

note = "Funding Information: Manuscript received January 1, 2021; revised March 20, 2021; accepted April 18, 2021. Date of publication June 7, 2021; date of current version July 16, 2021. This work was supported in part by the Department of Computing, The Hong Kong Polytechnic University, under Grant ZVQ5. (Corresponding author: Minglong Zhang.) Minglong Zhang, Peter Han Joo Chong, and Boon-Chong Seet are with the Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand (e-mail: minglong. [email protected]; [email protected]; [email protected]). Publisher Copyright: {\textcopyright} 1983-2012 IEEE.",

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AU - Zhang, Minglong

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AU - Chan, Chun Bun Henry

AU - Seet, B.C.

N1 - Funding Information: Manuscript received January 1, 2021; revised March 20, 2021; accepted April 18, 2021. Date of publication June 7, 2021; date of current version July 16, 2021. This work was supported in part by the Department of Computing, The Hong Kong Polytechnic University, under Grant ZVQ5. (Corresponding author: Minglong Zhang.) Minglong Zhang, Peter Han Joo Chong, and Boon-Chong Seet are with the Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand (e-mail: minglong. [email protected]; [email protected]; [email protected]). Publisher Copyright: © 1983-2012 IEEE.

PY - 2021/8

Y1 - 2021/8

N2 - 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.

AB - 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.

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

Abstract

Keywords

ASJC Scopus subject areas

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