  Large communication networks, e.g. Internet of Things (IoT), are known to be
vulnerable to co-channel interference. One possibility to address this issue is
the use of orthogonal multiple access (OMA) techniques. However, due to a
potentially very long duty cycle, OMA is not well suited for such schemes.
Instead, random medium access (RMA) appears more promising. An RMA scheme is
based on transmission of short data packets with random scheduling, which is
typically unknown to the receiver. The received signal, which consists of the
overlapping packets, can be used for energy harvesting and powering of a relay
device. Such an energy harvesting relay may utilize the energy for further
information processing and uplink transmission. In this paper, we address the
design of a simultaneous information and power transfer scheme based on
randomly scheduled packet transmissions and reliable symbol detection. We
formulate a prediction problem with the goal to maximize the harvested power
for an RMA scenario. In order to solve this problem, we propose a new
prediction method, which shows a significant performance improvement compared
to the straightforward baseline scheme. Furthermore, we investigate the
complexity of the proposed method and its vulnerability to imperfect channel
state information.
