SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai

TL;DR
This paper introduces a hybrid beamforming approach using stacked intelligent metasurfaces (SIM) to improve cell-free massive MIMO systems, reducing RF chain costs while maintaining high data rates under fronthaul constraints.
Contribution
It proposes a novel hybrid digital-wave beamforming framework with SIMs, and develops optimization algorithms to enhance performance in fronthaul-limited scenarios.
Findings
Hybrid schemes outperform conventional methods.
Deep SIMs enable near fully-digital performance.
Significant reduction in RF chains needed.
Abstract
As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expanded using large-scale antenna arrays (LAAs). However, this approach incurs high implementation costs and substantial fronthaul demands due to the need for dedicated RF chains for all antennas. To address these challenges, we propose a hybrid beamforming framework that integrates wave-domain beamforming via stacked intelligent metasurfaces (SIM) with conventional digital processing. By dynamically manipulating electromagnetic waves, SIM-equipped APs enhance beamforming gains while significantly reducing RF chain requirements. We formulate a joint optimization problem for digital and wave-domain beamforming along with fronthaul compression to maximize the weighted sum-rate for both uplink and downlink…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Telecommunications and Broadcasting Technologies · Advanced Photonic Communication Systems
MethodsSparse Evolutionary Training
