Fluid antennas combined with 1D-CNN channel reconstruction improve active user detection error rates and NMSE in unsourced random access via simulation.
Joint pattern, data and channel estimation for un- sourced random access in GMAC and MIMO systems,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.IT 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper introduces a fluid antenna-aided unsourced ISAC framework at the transmitter that claims to cut per-user error probability and boost AOA sensing accuracy, with a reported 40 dB gain over TDMA at 1000 users.
citing papers explorer
-
Fluid-Antenna-Aided Active User Detection With 1D-CNN Channel Reconstruction for Unsourced Random Access
Fluid antennas combined with 1D-CNN channel reconstruction improve active user detection error rates and NMSE in unsourced random access via simulation.
-
Fluid Antenna-assisted Unsourced ISAC Massive Access
The paper introduces a fluid antenna-aided unsourced ISAC framework at the transmitter that claims to cut per-user error probability and boost AOA sensing accuracy, with a reported 40 dB gain over TDMA at 1000 users.