ID 原文 译文
57178 为了有效地识别 ＲSU 的可靠性，提出了一种基于信任度的路侧单元识别及资源分配算法，将路侧单元识别、传输模式的选择和功率分配联合建模为网络能效的优化问题，并分成 3 个子优化问题，分别求解. To effectively identify the reliability of the ＲSU，a trust degree-based ＲSU recognition and resource allocation algorithm ( TＲＲA) is proposed. In this algorithm，roadside unit identification，transmission mode selection，and power alloca- tion are jointly modeled as the network energy efficiency optimization problem，which is divided into three sub-optimization problems to solve respectively.
57179 首先，采用基于信任度的 ＲSU 识别算法，识别出可信任和不可信任的路侧单元; Firstly，the trust degree-based ＲSU recognition algorithm is used to identify the trusted and untrusted roadside units;
57180 其次，优化车辆资源块配置和链路选择;最后，通过次梯度算法优化传输功率，最大化网络能效. Secondly，the resource block allocation and the link selection are optimized; Finally，the sub-gradient algorithm is used to optimize the transmission power and maximize the network energy efficiency.
57181 理论分析和仿真结果表明，所提算法具备较低的复杂度，可以达到较高的路侧单元识别准确度，并有效地提升网络总能效. Simulations show that the proposed algorithm has low- er complexity，which can achieve higher recognition accuracy of roadside units，and effectively improve the overall network energy efficiency.
57182 城市环境中的通信信道会受到各种障碍物的干扰，交叉路口场景下的散射体往往不是单一均匀分布的. In complex and changeable urban environment，the communication channel is interfered byvarious obstacles. The model of the vehicle-to-vehicle channel in the intersection scene is built.
57183 对 此，提出了一种适用于交叉路口的 Y 形随机模型. In thisscene，the scatterers are not uniformly distributed. A Y-shaped random model suitable for intersections isproposed.
57184 基于最大时延限定的椭球范围，建立了道路上车辆散射体和道路旁边楼房散射体的几何随机模型. Based on the ellipsoid range limited by the maximum time delay，the geometric random modelis established for the vehicle scatterer on the road and the building scatterers beside the road.
57185 在此模型中，假设道路两侧的静态散射体在楼房区域呈指数分布，移动散射体在车道区域均匀分布. In this model，the static scatterers on both sides of the road is assumed to be exponentially distributed in thebuilding area，and the moving scatterers are uniformly distributed in the lane area.
57186 为了贴近真实环境，采用离散马尔可夫过程模拟散射体的时变特性. In order to get close tothe real environment，the discrete Markov process is used to simulate the time-varying characteristics ofthe scatterers.
57187 推导并仿真了不同分支夹角场景下的到达角、时延功率谱、时间自相关函数、空间互相关函数、多普勒功率谱密度并进行了对比分析. The arrival angle ，the delay power spectrum，the time autocorrelation function，the spacecross-correlation function，and the Doppler power spectrum density are deduced and simulated.