Lightweight Convolutional Neural Networks for CSI Feedback in Massive MIMO

Understand

In frequency division duplex mode of massive multiple-input multiple-output systems, the downlink channel state information (CSI) must be sent to the base station (BS) through a feedback link.

• However, transmitting CSI to the BS is costly due to the bandwidth limitation of the feedback link.
• Deep learning (DL) has recently achieved remarkable success in CSI feedback.
• Realizing high-performance and low-complexity CSI feedback is a challenge in DL based communication.