  In this paper, we design a novel high-throughput random access scheme for an
indoor optical wireless communication (OWC) massive Internet of Things (IoT)
scenario. Due to the large density of both IoT devices and OWC access points
(APs), we base the proposed scheme on multi-receiver coded slotted ALOHA. In
this scenario, collisions at APs are resolved by a centralized interference
cancellation decoder that may exploit both spatial and temporal diversity. By
applying adaptive control of each OWC AP field of view (FOV), the proposed
system is able to dynamically adapt to different IoT device activation rates,
in order to maintain a high total throughput. Using illustrative simulation
results, we demonstrate the design methodology and performance possibilities of
the proposed method.
