The Terahertz (THz) band (0.1-10~THz), which supports Terabit-per-second (Tbps) data rates, has been envisioned as one of the promising spectrum bands for sixth-generation (6G) and beyond communications. In this paper, an angular-resolvable wideband channel measurement campaign in an indoor L-shaped hallway at 306-321~GHz is presented, by using a frequency-domain vector network analyzer (VNA)-based channel sounder. Four line-of-sight (LoS), six quasi-line-of-sight (QLoS) and eight non-line-of-sight (NLoS) receiver points are measured. However, measured data spreads due to the rich scattering environment and the antenna pattern, which puzzles traditional clustering algorithms. To solve this problem, a simulation-assisted Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm is proposed, where the deterministic simulation result is extracted to adapt the conventional DBSCAN algorithm. The proposed algorithm outperforms conventional clustering algorithms like DBSCAN, K-means, and K-power-means in terms of Silhouette, Calinski-Harabasz and Davies-Bouldin indices. Furthermore, the THz multi-path propagation in the L-shaped hallway is elaborated, and channel characteristics of multipath and clusters are analyzed in depth.
翻译:支持Terabit每秒(Tbps)数据率的Terahertz(Thz)频段(0.1-10-Thz)支持Terabit每秒(Tbps)数据率的Terabit(Thz)频段(0.1-10-Thz),被设想为第六代(6G)及以后通信中充满希望的频谱频段之一。在本文中,在306-321~GHHHz的室内L型走廊里,通过使用基于频率-多角度的矢量网络分析器(VNA)的频道声频多声波分析器(LOS)、6个准直线(QLOS)和8个非直线多层次(NLOS)数据组接收点被设想为有希望的频谱频谱的频谱频谱频谱频谱频谱频谱频谱频谱频段。然而,由于丰富的分散环境和天线模式使得传统群集算算法难以解。为了解决这个问题,建议采用一个模拟的基于DBS(DBSCAN)组(DBS-BCAN)组合算法的模拟模拟结果和确定式模拟结果,在传统的K-BS-BA-BA-BA-BA-S-BA-BA-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-SAL-SAL-S-R-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-S-