User-Centric Hardware Acceleration for Energy-Efficient Cell-Free Massive MIMO Systems
Year: 2026
Type: conference-paper
Abstract: The rapid increase in mobile data traffic necessitates a highly energy-efficient radio access network (RAN) architecture. In cell-free massive multiple-input multiple-output (CF-mMIMO) systems, hardware accelerators (ACCs) for physical-layer signal processing consume considerable static power because they must remain active to support control functions even during low-traffic periods. To address this inefficiency, we propose a user-centric hardware acceleration (UC-HA) architecture that separates signal processing into control-channel and per-user data-channel, and dynamically activates per-user ACCs according to user activity. A 5G outdoor testbed implementing UC-HA validates its feasibility and shows comparable throughput performance to conventional acceleration. Large-scale simulations in a 1 km2urban network calibrated by real power measurements demonstrate up to a 37% reduction in daily energy consumption compared with network-centric architectures. These results indicate that UC-HA constitutes a scalable and sustainable hardware platform for future green CF-mMIMO deployments.
Institution: KDDI Research (Japan)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7168282939
