A novel multistatic multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system in cellular networks is proposed. It can make use of widespread base stations (BSs) to perform cooperative sensing in wide area. This system is important since the deployment of sensing function can be achieved based on the existing mobile communication networks at a low cost. In this system, orthogonal frequency division multiplexing (OFDM) signals transmitted from the central BS are received and processed by each of the neighboring BSs to estimate sensing object parameters. A joint data processing method is then introduced to derive the closed-form solution of objects position and velocity. Numerical simulation shows that the proposed multistatic system can improve the position and velocity estimation accuracy compared with monostatic and bistatic system, demonstrating the effectiveness and promise of implementing ISAC in the upcoming fifth generation advanced (5G-A) and sixth generation (6G) mobile networks.

翻译：本文提出了一种新型蜂窝网络中的多基地多输入多输出（MIMO）感知通信一体化（ISAC）系统。该系统可利用广泛部署的基站进行广域协同感知。其重要意义在于：基于现有移动通信网络以低成本实现感知功能的部署。在该系统中，中央基站发射的正交频分复用（OFDM）信号由各相邻基站接收并处理，从而估计感知目标参数。随后引入了一种联合数据处理方法，推导出目标位置与速度的闭合表达式。数值仿真表明：与单基地和双基地系统相比，所提出的多基地系统可提升位置与速度估计精度，验证了在即将到来的第五代增强型（5G-A）和第六代（6G）移动网络中部署感知通信一体化的有效性与前景。