Recently, there is a growing interest in achieving integrated sensing and communication (ISAC) in the sixth-generation (6G) cellular network. Inspired by this trend and the success of cooperative communication in cloud radio access network, this paper considers a networked device-free sensing architecture based on base station (BS) cooperation to transform the cellular network into a huge sensor that can provide ubiquitous and high-performance sensing services. Under this framework, the BSs first transmit the downlink communication signals to the mobile users and then estimate the range information of the targets based on their echoes. Next, a central processor collects the range information from all the BSs via the fronthaul links and localizes each target based on its distances to various BSs. To enable the above strategy in the 6G network, we will perform joint data association, non-line-of-sight (NLOS) mitigation, and clutter suppression, such that the central processor is able to find out the useful range estimations extracted from the line-of-sight (LOS) paths and match them to the right targets for localization. Numerical results show that our interested networked device-free sensing scheme for the 6G network can localize the targets with high accuracy in the challenging multi-path propagation environment.
翻译:最近,第六代(6G)蜂窝网络对实现综合遥感和通信(ISAC)的兴趣日益浓厚,受这一趋势和云层无线电接入网络合作通信的成功鼓舞,本文件认为,基于基础站合作的网络化无装置遥感结构,将蜂窝网络转化为一个能够提供无处不在和高性能遥感服务的巨大传感器。在这个框架内,BS首先向移动用户传送下行链通信信号,然后根据他们的回声估计目标的范围信息。接着,一个中央处理器通过前厅链接收集所有BS的射程信息,并根据每个目标与各个BS的距离将每个目标本地化。为了使上述战略在6G网络中能够实现上述战略,我们将进行联合数据联系、非直观(NLOS)减缓和封闭,以便中央处理器能够从直线(LOS)路径中找到有用的范围估计结果,并将它们与正确的目标本地化。在高清晰度的网络中,Nummerical结果能够显示我们感兴趣的高清晰度的网络环境。