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Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
Simulation results over different urban vehicular mobility scenarios show that the proposed T2U method provides a probability of correct association that increases with the size of the BS antenna array, highlighting the respective increase of the separability of the VEs in the beamspace.
Target-to-User Association in ISAC Systems With Vehicle-Lodged RIS
Target-to-user (T2U) association is a prerequisite to fully exploit the potential of the sensing function in communication-centric integrated sensing and communication (ISAC) systems, e. g., for beam and blockage management.
Localizing the Vehicle's Antenna: an Open Problem in 6G Network Sensing
Moreover, there is not a winning technology for BM between BS-mounted radar and VE's onboard positioning systems.
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
Algebraic Low-rank (LR) channel estimation exploits space-time channel sparsity through the computation of position-dependent MIMO channel eigenmodes leveraging recurrent training vehicle passages in the coverage cell.
