  Energy harvesting is a technology for enabling green, sustainable, and
autonomous wireless networks. In this paper, a large-scale wireless network
with energy harvesting transmitters is considered, where a group of
transmitters forms a cluster to cooperatively serve a desired receiver amid
interference and noise. To characterize the link-level performance, closed-form
expressions are derived for the transmission success probability at a receiver
in terms of key parameters such as node densities, energy harvesting
parameters, channel parameters, and cluster size, for a given cluster geometry.
The analysis is further extended to characterize a network-level performance
metric, capturing the tradeoff between link quality and the fraction of
receivers served. Numerical simulations validate the accuracy of the analytical
model. Several useful insights are provided. For example, while more
cooperation helps improve the link-level performance, the network-level
performance might degrade with the cluster size. Numerical results show that a
small cluster size (typically 3 or smaller) optimizes the network-level
performance. Furthermore, substantial performance can be extracted with a
relatively small energy buffer. Moreover, the utility of having a large energy
buffer increases with the energy harvesting rate as well as with the cluster
size in sufficiently dense networks.
