A Novel 3D Non-stationary Localization-assisted ISAC Channel Model

Integrated sensing and communication (ISAC) has attracted wide attention as an emerging application scenario for the sixth generation (6G) wireless communication system. In this paper, a novel three-dimensional (3D) non-stationary localization-assisted ISAC geometry-based stochastic model (GBSM) is proposed. The locations of the first-bounce scatterer and last-bounce scatterer in the communication channel can be estimated by the particle filter with the assistance of backscattering sensing. The important channel statistical properties of the proposed channel model are simulated and compared with the ray tracing (RT) results, including the delay spread, azimuth angle of departure/arrival (AAoD/AAoA) spread, and elevation angle of departure/arrival (EAoD/EAoA) spread. The simulation results of the proposed channel model show a good agreement with the RT results, which proves the correctness of the proposed channel model. Utilizing the localization parameters of scatterers, the proposed ISAC channel model can better map the real environment.

[1]  Ruonan Zhang,et al.  A 3-D Dynamic Non-WSS Cluster Geometrical-Based Stochastic Model for UAV MIMO Channels , 2022, IEEE Transactions on Vehicular Technology.

[2]  Chengxiang Wang,et al.  Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios , 2022, IEEE Transactions on Vehicular Technology.

[3]  Y. Jay Guo,et al.  Enabling Joint Communication and Radar Sensing in Mobile Networks—A Survey , 2020, IEEE Communications Surveys & Tutorials.

[4]  Jie Tian,et al.  3D Non-Stationary Wideband UAV-to-Ground MIMO Channel Models Based on Aeronautic Random Mobility Model , 2021, IEEE Transactions on Vehicular Technology.

[5]  Zeyu Huang,et al.  Geometry-Based MPC Tracking and Modeling Algorithm for Time-Varying UAV Channels , 2020, IEEE Transactions on Wireless Communications.

[6]  Erik G. Larsson,et al.  Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts , 2020, Science China Information Sciences.

[7]  Zhi Quan,et al.  Joint radar and communication: A survey , 2020, China Communications.

[8]  Lajos Hanzo,et al.  Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead , 2019, IEEE Transactions on Communications.

[9]  Jianhua Zhang,et al.  A Novel Non-Stationary High-Speed Train (HST) Channel Modeling and Simulation Method , 2019, IEEE Transactions on Vehicular Technology.

[10]  Xiaomin Chen,et al.  A novel 3D non-stationary UAV-MIMO channel model and its statistical properties , 2018, China Communications.

[11]  Wei Fan,et al.  A Map-Free Indoor Localization Method Using Ultrawideband Large-Scale Array Systems , 2018, IEEE Antennas and Wireless Propagation Letters.

[12]  Bo Ai,et al.  Mobility Model-Based Non-Stationary Mobile-to-Mobile Channel Modeling , 2018, IEEE Transactions on Wireless Communications.

[13]  Davide Dardari,et al.  A Millimeter-Wave Indoor Backscattering Channel Model for Environment Mapping , 2017, IEEE Transactions on Antennas and Propagation.

[14]  Fredrik Tufvesson,et al.  Tracking and positioning using phase information from estimated multi-path components , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[15]  Akbar M. Sayeed,et al.  Mm-wave MIMO channel modeling and user localization using sparse beamspace signatures , 2014, 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).