  The growing need for electromagnetic spectrum to support the next generation
(xG) communication networks increasingly generate unwanted radio frequency
interference (RFI) in protected bands for radio astronomy. RFI is commonly
mitigated at the Radio Telescope without any active collaboration with the
interfering sources. In this work, we provide a method of signal
characterization and its use in subsequent cancellation, that uses Eigenspaces
derived from the telescope and the transmitter signals. This is different from
conventional time-frequency domain analysis, which is limited to fixed
characterizations (e.g., complex exponential in Fourier methods) that cannot
adapt to the changing statistics (e.g., autocorrelation) of the RFI, typically
observed in communication systems. We have presented effectiveness of this
collaborative method using real-world astronomical signals and practical
simulated LTE signals (downlink and uplink) as source of RFI along with
propagation conditions based on preset benchmarks and standards. Through our
analysis and simulation using these signals, we are able to remove 89.04% of
the RFI from cellular networks, which reduces excision at the Telescope and
capable of significantly improving throughput as corrupted time frequency bins
data becomes usable.
