An Empirical Random-Cluster Model for Subway Channels Based on Passive Measurements in UMTS
An Empirical Random-Cluster Model for Subway Channels Based on Passive Measurements in UMTS
复制标题
基于UMTS无源测量的地铁通道经验随机聚类模型
DOI：
10.1109/tcomm.2016.2578923
复制
发表时间：
2016
影响因子：
8.3
通讯作者：
Yin XF
中科院分区：
文献类型：
--
作者：
Cai Xuesong;Yin Xuefeng;Cheng Xiang;Perez Yuste Antonio;Yin XF
最近，在中国上海进行了用于表征地下地铁环境中的通道的测量活动。收集了沿着34公里长的地铁部署的46个通用移动的电信系统小区发送的下行链路信号。从公共导频信道中接收到的数据中提取信道冲激响应，并在此基础上利用空间交替广义期望最大化原理推导出的高分辨率参数算法估计多径分量的参数。获得多个时间演进簇，每个时间演进簇表示从基站的远程无线电单元到接收机的信道。基于总共98个随时间演化的簇，在车站场景和隧道场景中观察到的信道在许多方面，特别是在簇的轨迹的变化中的不同行为被分别建模。研究了团簇延迟、多普勒频散、K因子等参数对团簇内特征的影响，以及这些参数之间的依赖关系。簇间参数，包括共存的簇数，延迟偏移，功率偏移，和互相关，研究站的情况。建立了隧道场景下的路径损耗模型。
Recently, a measurement campaign for characterizing the channels in underground subway environments was conducted in Shanghai, China. Downlink signals transmitted by 46 universal mobile telecommunication system cells deployed along a 34-km-long subway were collected. Channel impulse responses are extracted from the data received in the common pilot channels, based on which parameters of multipath components are estimated by using a high-resolution parameter algorithm derived using the space-alternating generalized expectation-maximization principle. Multiple time-evolving clusters are obtained, each representing the channel from a remote-radio-unit of a base station to the receiver. Based on a total of 98 time-evolving clusters, channels observed in the station scenario and the tunnel scenario are modeled separately for their distinctive behaviors in many aspects, particularly in the variations of clusters' trajectories. Intracluster characteristics parameterized by cluster delay and Doppler frequency spreads, K -factor, and dependences among these parameters are investigated. Intercluster parameters, including coexisting cluster number, delay offset, power offset, and cross correlations, are investigated for the station scenario. A path loss model is established for the tunnel scenario.