  Simultaneous wireless information and power transfer (SWIPT) has long been
proposed as a key solution for charging and communicating with low-cost and
low-power devices. However, the employment of radio frequency (RF) signals for
information/power transfer needs to comply with international health and safety
regulations. In this paper, we provide a complete framework for the design and
analysis of far-field SWIPT under safety constraints. In particular, we deal
with two RF exposure regulations, namely, the specific absorption rate (SAR)
and the maximum permissible exposure (MPE). The state-of-the-art regarding SAR
and MPE is outlined together with a description as to how these can be modeled
in the context of communication networks. We propose a deep learning approach
for the design of robust beamforming subject to specific information, energy
harvesting and SAR constraints. Furthermore, we present a thorough analytical
study for the performance of large-scale SWIPT systems, in terms of information
and energy coverage under MPE constraints. This work provides insights with
regards to the optimal SWIPT design as well as the potentials from the proper
development of SWIPT systems under health and safety restrictions.
