ID 原文 译文
56538 新兴WiGig设备采用毫米波通信,天线数远多于Wi-Fi设备,具有更高的角度分辨率. The newly emerging WiGig devices use millimeter-wave signals to communicate.
56539 然而受限于成本,商用WiGig设备采用模拟波束成型方法,无法获得各天线的信道响应. As they have much more antennas than Wi-Fi devices, and they also have a higher angular resolution.
56540 本文利用新兴毫米波设备,实现高精度定位系统WiGLoc. However, because of cost limitations, com?mercial WiGig devices use analog beamforming, and the channel response of each antenna is unavailable.
56541 为此,首先对天线阵列接收信号强度建模(received signal strength, RSS),恢复天线的信道状态信息(channel state information, CSI); In this work, we propose WiGLoc, a system for WiGig devices that provides accurate localization.
56542 然后,对天线阵列进行校准,测量天线阵列参数; To achieve this goal, we model the RSS of the antenna array, from which the CSIs of individual antennas are recovered.
56543 最后,利用天线信道状态信息和天线阵列布局信息估计发射端到目标的信号离开角(angle of departure, AoD),对目标定位. Then, the antenna array is calibrated, and the array geometry is obtained.
56544 实验结果表明, WiGLoc平均三维追踪精度达到了6 cm,平均二维定位精度达到了27 cm. WiGLoc estimates AoDs from WiGig APs to the target with antenna CSIs and array geometry to localize the target.
56545 与此相比,已有基于波束成型的方法三维追踪和二维定位的精度分别仅为11 cm和44 cm. Experimental results show that the average 3D tracking and 2D localization errors of WiGLoc are only 6 and 27 cm, respectively; whereas those of the state-of-the-art beamforming approach are 11 and 44 cm, respectively.
56546 在蜂窝车用无线通信(cellular vehicular-to-everything, C-V2X)系统中,车辆快速移动导致D2D链路的网络拓扑不稳定,频繁重构的网络拓扑增加了同频干扰问题的复杂度和拓扑管理信令的数量,造成基站的计算能力和带宽资源浪费. In cellular vehicle-to-everything systems, the rapid movement of vehicles leads to the network topol?ogy instability of device-to-device (D2D) links. The frequent reconfiguration of network topology increases the complexity of the same frequency interference problem and the amount of signaling overhead for the management of network topology, which result in the waste of the computation ability and bandwidth resources of the base station (BS).
56547 本文建立以簇为核心的全双工D2D (full-duplex device-to-device,FD-D2D)车载通信模型,提出基于超图聚簇(hypergraph clustering, HG-C)和干扰限制区域(interference limited area, ILA)理论的FD-D2D车载通信资源管理方案. In this paper, we establish a full-duplex device-to-device (FD-D2D) vehicular communication model with cluster as the core and propose a resource management scheme for FD-D2D vehicular communication by using hypergraph clustering and interference limited area theory.