# Energy Consumption Minimization with SNR Constraint for Wireless Powered Communication Networks

## TL;DR

This paper proposes a new time allocation scheme to minimize energy consumption in wireless powered communication networks while ensuring signal quality.

## Contribution

The novel DaTA scheme and a heuristic method for energy consumption minimization with SNR constraints in WPCNs.

## Key findings

- The DaTA scheme reduces energy consumption compared to existing methods.
- The proposed heuristic achieves near-optimal performance with faster computation.
- Simulation results confirm improved energy efficiency under SNR constraints.

## Abstract

The article addresses the energy consumption minimization problem in wireless powered communication networks (WPCNs) and proposes a time allocation scheme, named DaTA, which is based on the Different Target Simultaneous Wireless Information and Power Transfer (DT-SWIPT) scheme such that the wireless station can share the remaining energy after transmission to the Hybrid Access Point (HAP) to those who have not transmitted to the HAP to minimize the energy consumption of the WPCN. In addition to proposing a new frame structure, the article also considers the Signal-to-Noise (SNR) constraint to guarantee that the HAP can successfully receive data from wireless stations. In the article, the problem of minimization of energy consumption is formulated as a nonlinear programming model. We employ the SQP (Sequential Quadratic Programming) algorithm to figure out the optimal solution. Moreover, a heuristic method is proposed as well to obtain a near-optimal solution in a shorter time. The simulation results showed that the proposed scheme outperforms the related work in terms of energy consumption and energy efficiency.