  The millimetre-wave spectrum provisions enormous enhancement to the
achievable data rate of 5G networks. However, human blockages affecting the
millimetre-wave signal can severely degrade the performance if proper resource
allocation is not considered. In this paper, we assess how conventional
schedulers, such as the Proportional Fair scheduler, react to the presence of
blockage. Our results show that the resource allocation may disfavour users
suffering from blockage, leading to low data rate for those users. To
circumvent this problem, we show that the data rate of those users can be
improved by using a scheduler adapted to react to upcoming blockage events. The
adapted scheduler aims at proactively allocating the resources before a
blockage happens, mitigating losses. Such adaptation is motivated by recent
progress in blockage prediction for millimetre-wave signals in a dynamic human
blockage scenario. Our extensive simulations indicate gains in the 1st
percentile rate and fairness with respect to Proportional Fair scheduler when
blockage conditions are severe.
