A successive interference cancellation framework with joint CFO-channel estimation enables per-beam radio mapping from 5G NR SS bursts at SINR down to -30 dB in dense multi-cell low-altitude scenarios.
Trustworthy intelligent networks for low-altitude economy
2 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 2representative citing papers
The MPComm framework decomposes a bi-objective optimization into outer timing selection via graph search and inner power/channel allocation with asymptotic optimality, yielding up to 6x less terrestrial interference and 6dB energy savings under timeliness constraints.
citing papers explorer
-
Joint CFO-Channel Estimation under Strong Inter-Cell Interference for Low-Altitude Radio Mapping
A successive interference cancellation framework with joint CFO-channel estimation enables per-beam radio mapping from 5G NR SS bursts at SINR down to -30 dB in dense multi-cell low-altitude scenarios.
-
Model Predictive Communication for Timely Status Updates in Low-Altitude Networks
The MPComm framework decomposes a bi-objective optimization into outer timing selection via graph search and inner power/channel allocation with asymptotic optimality, yielding up to 6x less terrestrial interference and 6dB energy savings under timeliness constraints.