  We propose to use a liquid time constant (LTC) network to predict the future
blockage status of a millimeter wave (mmWave) link using only the received
signal power as the input to the system. The LTC network is based on an
ordinary differential equation (ODE) system inspired by biology and specialized
for near-future prediction for time sequence observation as the input. Using an
experimental dataset at 60 GHz, we show that our proposed use of LTC can
reliably predict the occurrence of blockage and the length of the blockage
without the need for scenario-specific data. The results show that the proposed
LTC can predict with upwards of 97.85\% accuracy without prior knowledge of the
outdoor scenario or retraining/tuning. These results highlight the promising
gains of using LTC networks to predict time series-dependent signals, which can
lead to more reliable and low-latency communication.
