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.

中文翻译：

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支持5G蜂窝网络的V2X通信的干扰最小化资源分配

在本文中，考虑了用于5G蜂窝移动通信网络基础上的车辆到所有（V2X）的资源分配。优化问题被模型化为混合二进制整数非线性规划（MBINP），该模型将根据服务质量（QoS），总可用功率，干扰阈值和最小传输而对5G蜂窝用户（CU）的干扰降至最低率。为此，将原始MBINP分解为三个步骤：传输功率初始化，子信道分配和功率分配。首先，将V2X用户（VU）所需的最小传输功率设置为初始功率值。其次，使用匈牙利算法来获取适当的子信道。最后，提出了一种优化的功率分配机制。