  Inspired by the direct use of alternating current (AC) for computation, we
propose a novel integrated information and energy receiver architecture for
simultaneous wireless information and power transfer (SWIPT) networks. In this
context, the AC computing method, in which wirelessly harvested AC energy is
directly used to supply the computing block of receivers, enhances not only
computational ability but also energy efficiency over the conventional direct
current (DC) one. Further, we aim to manage the trade-off between the
information decoding (ID) and energy harvesting (EH) optimally while taking
imperfect channel estimation into account. It results in a worst-case
optimization problem of maximizing the data rate under the constraints of an EH
requirement, the energy needed for supplying the AC computational logic, and a
transmit power budget. Then, we propose a method to derive closed-form optimal
solutions. The numerical results demonstrate that the proposed architecture
with AC computing significantly improves the rate-energy region.
