Beam Domain Channel Estimation for Spatial Non-Stationary Massive MIMO Systems

TL;DR

This paper introduces a novel beam domain channel estimation method for spatial non-stationary massive MIMO systems, effectively addressing power leakage and spatial non-stationarity with low pilot overhead.

Contribution

It proposes a realistic beam domain channel model and a sparsity adaptive matching pursuit scheme tailored for non-stationary massive MIMO channels.

Findings

The BDS-SAMP scheme accurately estimates channels with low pilot overhead.

Simulation results show improved performance over conventional methods.

The approach effectively captures spatial non-stationarity and power leakage.

Abstract

In massive multiple-input multiple-output (MIMO) systems, the channel estimation scheme is subject to the spatial non-stationarity and inevitably power leakage in the beam domain. In this paper, a beam domain channel estimation scheme is investigated for spatial non-stationary (SNS) massive MIMO systems considering power leakage. %a novel beam domain channel estimation scheme is proposed for spatial non-stationary (SNS) massive MIMO systems. Specifically, a realistic massive MIMO beam domain channel model (BDCM) is introduced to capture the spatial non-stationarity considering power leakage by introducing the illustration of visibility region (VR). Then, a beam domain structure-based sparsity adaptive matching pursuit (BDS-SAMP) scheme is proposed based on the cross-block sparse structure and power ratio threshold of beam domain channel. Finally, the simulation results validate the accuracy of proposed BDS-SAMP scheme with low pilot overhead and reasonable complexity by comparing with conventional schemes.