  In this paper, we introduce a mathematical approach for system-level analysis
and optimization of densely deployed multiple-antenna cellular networks, where
low-energy devices are capable of decoding information data and harvesting
power simultaneously. The base stations are assumed to be deployed according to
a Poisson point process and tools from stochastic geometry are exploited to
quantify the trade-off in terms of information rate and harvested power. It is
shown that multiple-antenna transmission is capable of increasing information
rate and harvested power at the same time.
