Fast Beam-Brainstorm: Few-Step Generative Site-Specific Beamforming with Flexible Probing
Zihao Zhou, Zhaolin Wang, Yuanwei Liu

TL;DR
Fast Beam-Brainstorm (F-BBS) introduces a two-stage distillation method for rapid, flexible, and high-fidelity site-specific beamforming, significantly reducing generation time and accommodating variable channel probing lengths.
Contribution
The paper presents a novel two-stage distillation strategy and a stochastic masking mechanism enabling few-step beam generation and flexible probing without retraining.
Findings
Achieves over 90% reduction in beam generation cost compared to diffusion-based methods.
Maintains high performance with variable-length channel probing.
Provides a balanced trade-off between beamforming gain and probing overhead.
Abstract
A novel generative site-specific beamforming (GenSSBF) approach, termed fast beam-brainstorm (F-BBS), is proposed to address the practical bottlenecks of slow beam generation and fixed channel probing lengths in existing GenSSBF. To accelerate beam generation, F-BBS utilizes a two-stage distillation strategy that learns an average velocity field, instead of an instantaneous one, to guide the beam generative process. This strategy enables larger generation steps, realizing few-step or even one-step beam generation. Furthermore, to accommodate flexible channel probing lengths, a stochastic masking mechanism and a beam index-aware masked condition encoder are proposed, enabling a single trained model to operate with variable-length channel probing observations without retraining. Therefore, FBBS achieves the fast generation of high-fidelity communication beams from coarse and…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Speech and Audio Processing · Advanced MIMO Systems Optimization
