Abstract: The disclosure describes a method of evaluating performance of a two-sided model used for performing CSI compression. The method includes receiving, by a network, from a UE, a compressed channel Ht, a second eigenvector EVt+1 corresponding to a channel Ht+1, and a first similarity score determined between a first eigenvector EVt and the second eigenvector EVt+1. A channel Ht is reconstructed by processing the compressed channel Ht using a decoder part of the two-sided AI/ML model. Eigen decomposition of the channel Ht is performed to obtain an eigenvector (EV)t. A second similarity score is determined between the eigenvectors (EV)t and EVt+1. Alternatively, the first similarity score is determined between an estimated channel H and a codebook based precoder W, and a second similarity score is determined between a reconstructed channel H and the codebook based precoder W.

Abstract: The present invention describes a method of evaluating performance of a two-sided model used for performing CSI compression. The method includes receiving a first reference signal in a first time slot (t). A first channel Ht and a first Channel Quality Indicator (CQIt) are estimated at a first time instance. The first channel (Ht) is compressed using an encoder of a two-sided model. A compressed channel (Ht) along with the CQIt is transmitted to a Base Station (BS) (102). A second reference signal precoded with a reconstructed channel (?t) is received in a second time slot (t+1). A second channel Ht+1 and a second CQIt+1 are estimated at a second time instance. The second CQI (CQIt+1) and the first CQI (CQIt) are compared for determining performance of the encoder of the two-sided model.

Abstract: The present invention provides a method and apparatus for achieving model compatibility in AI/ML based channel state information compression models in multi-antenna systems. An initial capability report is transmitted to a base station. An initial network configuration is received from the base station. An AI-specific AI/ML CSI capability report is transmitted to the base station. A CSI report configuration consisting of AI/ML model specific configuration parameters and CSI reporting parameters, and CSI-Reference signals are received from the base station. Parameters such as AI-CSI is computed based on the CSI report configuration to transmit CSI report. The CSI report configuration is transmitted according to an information element (IE) consisting of a pairing ID. The AI-CSI parameter is computed based on AI/ML model indicated by the pairing ID and other CSI reporting parameters included in the CSI report configuration.