Power control and low-complexity receiver for uplink massive MIMO systems

This paper proposes an uplink power control strategy with a low-complexity receiver for massive multiple-input multiple-output (MIMO) transmission in the correlated Rayleigh block-fading channel. To avoid the large dimensional matrix inversion required by a minimum mean-square-error (MMSE) receiver in massive MIMO systems, we adopt the receiver based on truncated polynomial expansion (TPE) to reduce the complexity. We apply the uplink power control with the TPE receiver for the purpose of saving power consumption of all users. Due to the deterministic equivalent for the post-processing Signal to Interference plus Noise Ratio (SINR), we propose an iterative algorithm to jointly optimize the polynomial coefficients of the TPE receiver and the total transmit power of all users based on the long-term channel state information (CSI) without the exchange of the excessive amount of instantaneous CSI. We prove that the proposed algorithm is converged. Numerical results show that the transmit power consumed by the system using the uplink power control strategy with the TPE receiver is close to that with the MMSE receiver when the polynomial degree is properly high.