A WMMSE-based joint optimization of UE powers and fronthaul gains in modular XL-MIMO with wireless fronthaul under hardware impairments yields higher uplink spectral efficiency than fixed strategies.
Near-field beamfocusing, localization, and channel estimation with modular linear a rrays,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
eess.SP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
An unsupervised DNN learns to map channel features to distortion-aware power allocation and sub-array activation in non-linear sparse XL-MIMO systems, yielding higher energy efficiency than conventional sparse arrays.
citing papers explorer
-
Distributed Two-Phase Processing for Modular XL-MIMO with Wireless Fronthaul under Hardware Impairments
A WMMSE-based joint optimization of UE powers and fronthaul gains in modular XL-MIMO with wireless fronthaul under hardware impairments yields higher uplink spectral efficiency than fixed strategies.
-
Learning Energy-Efficient Modular Arrays under Hardware Non-linearities
An unsupervised DNN learns to map channel features to distortion-aware power allocation and sub-array activation in non-linear sparse XL-MIMO systems, yielding higher energy efficiency than conventional sparse arrays.