  Information delivery via molecular signals is abundant in nature and
potentially useful for industry sensing. Many propagation channels (e.g.,
tissue membranes and catalyst beds) contain porous medium materials and the
impact this has on communication performance is not well understood. Here,
communication through realistic porous channels is investigated for the first
time via statistical breakthrough curves. Assuming that the number of arrived
molecules can be approximated as a Gaussian random variable and using fully
resolved computational fluid dynamics results for the breakthrough curves, the
numerical results for the throughput, mutual information, error probability,
and information diversity gain are presented. Using these numerical results,
the unique characteristics of the porous medium channel are revealed.
