  This paper studies the joint digital self-interference (SI) cancellation and
data detection in an orthogonal-frequency-division-multiplexing (OFDM)
full-duplex (FD) system, considering the effect of phase noise introduced by
the oscillators at both the local transmitter and receiver. In particular, an
universal iterative two-stage joint SI cancellation and data detection
framework is considered and its performance bound independent of any specific
estimation and detection methods is derived. First, the channel and phase noise
estimation mean square error (MSE) lower bounds in each iteration are derived
by analyzing the Fisher information of the received signal. Then, by
substituting the derived MSE lower bound into the SINR expression, which is
related to the channel and phase noise estimation MSE, the SINR upper bound in
each iteration is computed. Finally, by exploiting the SINR upper bound and the
transition information of the detection errors between two adjacent iterations,
the universal bit error rate (BER) lower bound for data detection is derived.
