TY - JOUR
T1 - Fuzzy Logic-based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks
AU - Zhang, Minglong
AU - Dou, Yi
AU - Chong, Peter H. J.
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.
KW - 5G
KW - V2X communications
KW - fuzzy logic
KW - resource allocation
KW - vehicular networks
UR - http://www.scopus.com/inward/record.url?scp=85110653297&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2021.3087244
DO - 10.1109/JSAC.2021.3087244
M3 - Journal article
SN - 0733-8716
VL - 39
SP - 2501
EP - 2513
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 8
M1 - 9448149
ER -