Efficient Precoding for Massive MIMO Downlink under PA Nonlinearities

Rafik Zayani (1) , Hmaied Shaïek (1) , Daniel Roviras (1)

1 CEDRIC - Centre d'études et de recherche en informatique et communications

This letter investigates the compensation of the power amplifier (PA) nonlinear distortion (NLD) in large-scale multiuser (MU) multiple-input multiple-output (MIMO) downlink systems. We introduce a PA-aware precoding approach that exploits the high-dimensional degrees of freedom (DoFs), allowed by equipping the base station (BS) by a high number of antennas, and performs the precoded signals that, when amplified and passed through the channel, guarantee excellent transmission quality. Specifically, we formulate the proposed PA-aware precoding approach as a simple convex optimization problem which enables efficient, low-complexity and reliable algorithm implementations. The simulation results demonstrate the strong potential of the proposed approach in terms of improving the link quality and reducing the required computational complexity.

Domains: Engineering Sciences [physics]

Rafik Zayani, Hmaied Shaïek, Daniel Roviras. Efficient Precoding for Massive MIMO Downlink under PA Nonlinearities. IEEE Communications Letters, 2019, 23 (9), ⟨10.1109/LCOMM.2019.2924001⟩. ⟨hal-02447523v1⟩