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

2025-01-08

AI Summary

In spatially non-stationary massive MIMO systems, beam-domain channel estimation suffers from low accuracy due to pilot mismatch and energy leakage—caused by power leakage and local non-stationarity. To address this, we first propose a novel Beam-Domain Channel Model (BDCM) that jointly incorporates a Visible Region (VR) constraint and explicit power leakage modeling. Building upon this model, we develop the Block-structured Dilated Sparse Adaptive Matching Pursuit (BDS-SAMP) algorithm, which exploits inter-block sparsity priors and a power-ratio threshold to dynamically identify the sparse support set. Compared to conventional approaches, BDS-SAMP significantly reduces pilot overhead and computational complexity while improving channel estimation accuracy by over 35%. Extensive simulations confirm its strong robustness and effectiveness under spatial non-stationarity.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Intelligent Robots: State Estimation
• Search and Optimization: Sampling/Simulation-based Search

Application Category

• User Modeling, Personalization and Recommendation: On-Device user modeling, personalization, and recommendation
• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Security and Privacy: Large-scale security measurements

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.

Problem

• Spatially-Varying Antenna Systems
• Massive MIMO
• Channel Estimation

Innovation

• Beam Energy Distribution
• BDS-SAMP Method
• Visible Region Concept