TY - JOUR
T1 - Interference Minimization Resource Allocation for V2X Communication Underlaying 5G Cellular Networks
AU - Song, Xiaoqin
AU - Wang, Kuiyu
AU - Lei, Lei
AU - Zhao, Liping
AU - Li, Yong
AU - Wang, Jiankang
N1 - Publisher Copyright:
© 2020 Xiaoqin Song et al.
PY - 2020
Y1 - 2020
N2 - In this paper, the resource allocation for vehicle-to-everything (V2X) underlaying 5G cellular mobile communication networks is considered. The optimization problem is modeled as a mixed binary integer nonlinear programming (MBINP), which minimizes the interference to 5G cellular users (CUs) subject to the quality of service (QoS), the total available power, the interference threshold, and the minimal transmission rate. To achieve that, the original MBINP is decomposed into three steps: transmission power initialization, subchannel assignment, and power allocation. Firstly, the minimum transmission power required by the V2X users (VUs) is set as the initial power value. Secondly, the Hungarian algorithm is used to obtain the appropriate subchannel. Finally, an optimization mechanism is proposed to the power allocation. Simulation results show that the proposed algorithm can not only ensure the minimal transmission rate of VUs but also further improve the CUs' channel capacity under the premise of guaranteeing the QoS of the CUs.
AB - In this paper, the resource allocation for vehicle-to-everything (V2X) underlaying 5G cellular mobile communication networks is considered. The optimization problem is modeled as a mixed binary integer nonlinear programming (MBINP), which minimizes the interference to 5G cellular users (CUs) subject to the quality of service (QoS), the total available power, the interference threshold, and the minimal transmission rate. To achieve that, the original MBINP is decomposed into three steps: transmission power initialization, subchannel assignment, and power allocation. Firstly, the minimum transmission power required by the V2X users (VUs) is set as the initial power value. Secondly, the Hungarian algorithm is used to obtain the appropriate subchannel. Finally, an optimization mechanism is proposed to the power allocation. Simulation results show that the proposed algorithm can not only ensure the minimal transmission rate of VUs but also further improve the CUs' channel capacity under the premise of guaranteeing the QoS of the CUs.
UR - http://www.scopus.com/inward/record.url?scp=85092008377&partnerID=8YFLogxK
U2 - 10.1155/2020/2985367
DO - 10.1155/2020/2985367
M3 - Article
AN - SCOPUS:85092008377
SN - 1530-8669
VL - 2020
JO - Wireless Communications and Mobile Computing
JF - Wireless Communications and Mobile Computing
M1 - 2985367
ER -