Distributed Distortion-Aware Beamforming Designs for Cell-Free mMIMO Systems

Cell-free massive multi-input multi-output (CF-mMIMO) systems have emerged as a promising paradigm for next-generation wireless communications, offering enhanced spectral efficiency and coverage through distributed antenna arrays. However, the non-linearity of power amplifiers (PAs) in these arrays introduce spatial distortion, which may significantly degrade system performance. This paper presents the first investigation of distortion-aware beamforming in a distributed framework tailored for CF-mMIMO systems, enabling pre-compensation for beam dispersion caused by nonlinear PA distortion. Using a third-order memoryless polynomial distortion model, the impact of the nonlinear PA on the performance of CF-mMIMO systems is firstly analyzed by evaluating the signal-to-interference-noise-and-distortion ratio (SINDR) at user equipment (UE). Then, we develop two distributed distortion-aware beamforming designs based on ring topology and star topology, respectively. In particular, the ring-topology-based fully-distributed approach reduces interconnection costs and computational complexity, while the star-topology-based partially-distributed scheme leverages the superior computation capability of the central processor to achieve improved sum-rate performance. Extensive simulations demonstrate the effectiveness of the proposed distortion-aware beamforming designs in mitigating the effect of nonlinear PA distortion, while also reducing computational complexity and backhaul information exchange in CF-mMIMO systems.

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Publication Details

Journal
IEEE Journal of Selected Topics in Signal Processing
Published
2025-02-03
DOI
https://doi.org/10.1109/jstsp.2025.3537798
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Distributed Distortion-Aware Beamforming Designs for Cell-Free mMIMO Systems

Rang Liu, Qian Liu, Ming Li, Mengzhen Liu
IEEE Journal of Selected Topics in Signal Processing
Advanced MIMO Systems Optimization
article

Distributed Distortion-Aware Beamforming Designs for Cell-Free mMIMO Systems

Rang Liu, Qian Liu, Ming Li, Mengzhen Liu
article en

Abstract

Cell-free massive multi-input multi-output (CF-mMIMO) systems have emerged as a promising paradigm for next-generation wireless communications, offering enhanced spectral efficiency and coverage through distributed antenna arrays. However, the non-linearity of power amplifiers (PAs) in these arrays introduce spatial distortion, which may significantly degrade system performance. This paper presents the first investigation of distortion-aware beamforming in a distributed framework tailored for CF-mMIMO systems, enabling pre-compensation for beam dispersion caused by nonlinear PA distortion. Using a third-order memoryless polynomial distortion model, the impact of the nonlinear PA on the performance of CF-mMIMO systems is firstly analyzed by evaluating the signal-to-interference-noise-and-distortion ratio (SINDR) at user equipment (UE). Then, we develop two distributed distortion-aware beamforming designs based on ring topology and star topology, respectively. In particular, the ring-topology-based fully-distributed approach reduces interconnection costs and computational complexity, while the star-topology-based partially-distributed scheme leverages the superior computation capability of the central processor to achieve improved sum-rate performance. Extensive simulations demonstrate the effectiveness of the proposed distortion-aware beamforming designs in mitigating the effect of nonlinear PA distortion, while also reducing computational complexity and backhaul information exchange in CF-mMIMO systems.

IEEE Journal of Selected Topics in Signal ProcessingVol. 19(2)
Dalian University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 99%
Advanced MIMO Systems Optimization
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Distributed Distortion-Aware Beamforming Designs for Cell-Free mMIMO Systems — Rang Liu, Qian Liu, et al. · IEEE Journal of Selected Topics in Signal Processing (2025) | TGRS Research Map | TGRS