# Linear One-Bit Precoding in Massive MIMO: Asymptotic SEP Analysis and Optimization

arXiv: https://arxiv.org/abs/2306.15260 · HTML: https://mlsanity.com/paper/2306.15260/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jun 2023.

## Built on by (most cited first, 1 of 1)

- [Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems](https://mlsanity.com/paper/2307.06714/) (2023)

## Abstract (arXiv)

This paper focuses on the analysis and optimization of a class of linear one-bit precoding schemes for a downlink massive MIMO system under Rayleigh fading channels. The considered class of linear one-bit precoding is fairly general, including the well-known matched filter (MF) and zero-forcing (ZF) precoding schemes as special cases. Our analysis is based on an asymptotic framework where the numbers of transmit antennas and users in the system grow to infinity with a fixed ratio. We show that, under the asymptotic assumption, the symbol error probability (SEP) of the considered linear one-bit precoding schemes converges to that of a scalar ``signal plus independent Gaussian noise'' model. This result enables us to provide accurate predictions for the SEP of linear one-bit precoding. Additionally, we also derive the optimal linear one-bit precoding scheme within the considered class based on our analytical results. Simulation results demonstrate the excellent accuracy of the SEP prediction and the optimality of the derived precoder.