# Robust Design of AC Computing-Enabled Receiver Architecture for SWIPT Networks

## TL;DR

This paper introduces a novel AC computing-enabled receiver architecture for SWIPT networks that improves energy efficiency and data rate by directly using harvested AC energy for computation, optimizing the trade-off between information decoding and energy harvesting.

## Contribution

It proposes a new integrated receiver architecture utilizing AC computing for SWIPT, along with a worst-case optimization approach and closed-form solutions to enhance rate-energy performance.

## Key findings

- Significant improvement in rate-energy region with AC computing architecture
- Optimal solutions derived for the worst-case optimization problem
- Enhanced energy efficiency and computational ability over conventional methods

## Abstract

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.