Universal Auto-encoder Framework for MIMO CSI Feedback
Jinhyun So Hyukjoon Kwon
Existing auto-encoder (AE)-based channel state information (CSI) frameworks
have focused on a specific configuration of user equipment (UE) and base
station (BS), and thus the input and output sizes of the AE are fixed. However,
in the real-world scenario, the input and output sizes may vary depending on
the number of antennas of the BS and UE and the allocated resource block in the
frequency dimension. A naive approach to support the different input and output
sizes is to use multiple AE models, which is impractical for the UE due to the
limited HW resources. In this paper, we propose a universal AE framework that
can support different input sizes and multiple compression ratios. The proposed
AE framework significantly reduces the HW complexity while providing comparable
performance in terms of compression ratio-distortion trade-off compared to the
naive and state-of-the-art approaches.