  The problem of finding decentralized transmission policies in a wireless
communication network with energy harvesting constraints is formulated and
solved using the decentralized Markov decision process framework. The proposed
policy defines the transmission probabilities of all devices so as to correctly
balance the collision probabilities with the energy constraints. After an
initial coordination phase, in which the network parameters are initialized for
all devices, every node proceeds in a fully decentralized fashion. We
numerically show that, because of the harvesting, a fully orthogonal scheme
(e.g., TDMA-like) is sub-optimal in this scenario, and that the optimal
trade-off lies between an orthogonal and a completely symmetric system.
