Low Complexity Joint Channel Estimation and Compression for Massive MIMO Systems

Massive multi-input-multi-output (MIMO) is a promising technology for the upcoming next generation of wireless communications (6G and beyond). To achieve high performance in Frequency Division Duplexed (FDD) massive MIMO, the downlink channel state information (CSI) needs to be accurately feedback to the transmitter. However, for massive MIMO, as the number of antennas increases, the feedback process involves a huge overhead because of a large number of channel coefficients. We propose a Fast Fourier Transform (FFT) based CSI compression and feedback technique, with the use of a low complexity Singular Value Decomposition (SVD) based reconstruction at the receiver. The simulation results show a lower Normalized Mean Square Error (NMSE), with significantly lower complexity than the existing techniques.