In this paper, we present a two-layer precoding approach for integrated sensing and communication (ISAC) multi-input multi-output (MIMO) systems. The proposed approach comprises an outer layer precoder that leverages channel state information for beam scheduling and reduces the dimensionality of the channel matrix, thereby improving the achievable sum rate. In addition, the inner layer precoder incorporates a beamforming approach for the sensing function, integrating MIMO radar and multi-user MIMO communication systems. This approach helps to satisfy the signal-to-interference-plus-noise ratio requirements for communication and utilizes the minimum mean square error criterion to approximate the beam pattern of the MIMO radar, achieving a superior sensing performance. Our research demonstrates the capability of improving the performance of ISAC MIMO systems.
A Two-Layer Precoding Approach for the Integrated Sensing and Communication in Downlink MIMO Systems
2023-10-10
998838 byte
Conference paper
Electronic Resource
English