arXiv · 2605.23502
Distributed Two-Phase Processing for Modular XL-MIMO with Wireless Fronthaul under Hardware Impairments
Abstract
Modular extremely large-scale MIMO (XL-MIMO) architectures combined with wireless fronthaul provide a scalable alternative to monolithic arrays, but their performance is sensitive to hardware impairments and resource allocation strategies. In this paper, we consider a distributed two-phase processing framework for modular XL-MIMO systems employing amplify-and-forward wireless fronthaul under practical hardware constraints. We jointly model access-side and fronthaul-side distortions and formulate a weighted minimum mean-square error (WMMSE)-based optimization problem that maximizes the uplink sum spectral efficiency (SE) by jointly adjusting UE transmit powers and fronthaul amplification levels. The resulting algorithm alternates between distortion-aware receiver design and convex power-control updates. Numerical results demonstrate that the proposed joint optimization significantly improves spectral efficiency compared to fixed transmission strategies, particularly when the CPU has a moderate number of antennas, while also quantifying the relative impact of access and fronthaul impairments.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Özlem Tuğfe Demir. 2026-05-22. Distributed Two-Phase Processing for Modular XL-MIMO with Wireless Fronthaul under Hardware Impairments. https://arxiv.org/abs/2605.23502
Cite the original work for its findings. Save a collection to share your selection of sources.