  Motivated by the issue of inaccurate channel state information (CSI) at the
base station (BS), which is commonly due to feedback/processing delays and
compression problems, in this paper, we introduce a scalable idea of adopting
artificial intelligence (AI) aided CSI acquisition. The proposed scheme
enhances the CSI compression, which is done at the mobile terminal (MT), along
with accurate recovery of estimated CSI at the BS. Simulation-based results
corroborate the validity of the proposed scheme. Numerically, nearly 100\%
recovery of the estimated CSI is observed with relatively lower overhead than
the benchmark scheme. The proposed idea can bring potential benefits in the
wireless communication environment, e.g., ultra-reliable and low latency
communication (URLLC), where imperfect CSI and overhead is intolerable.
