Energy-Efficient SWIPT in IoT Distributed Antenna Systems

TL;DR

This paper investigates energy efficiency in SWIPT-enabled distributed antenna systems for IoT, proposing optimal and suboptimal algorithms to enhance performance and demonstrating superior results over benchmarks.

Contribution

It introduces a closed-form solution for single IoT device EE optimization and a suboptimal algorithm for multiple devices in SWIPT DAS.

Findings

Proposed schemes outperform benchmarks in energy efficiency.

Optimal solution derived using KKT conditions for single device case.

Suboptimal algorithm effectively maximizes EE in multi-device scenarios.

Abstract

The rapid growth of Internet of Things (IoT) dramatically increases power consumption of wireless devices. Simultaneous wireless information and power transfer (SWIPT) is a promising solution for sustainable operation of IoT devices. In this paper, we study energy efficiency (EE) in SWIPT-based distributed antenna system (DAS), where power splitting (PS) is applied at IoT devices to coordinate the energy harvesting (EH) and information decoding (ID) processes by varying transmit power of distributed antenna (DA) ports and PS ratios of IoT devices. In the case of single IoT device, we find the optimal closed-form solution by deriving some useful properties based on Karush-Kuhn-Tucker (KKT) conditions and the solution is no need for numerical iterations. For the case of multiple IoT devices, we propose an efficient suboptimal algorithm to solve the EE maximization problem. Simulation results show that the proposed schemes achieve better EE performance compared with other benchmark schemes in both single and multiple IoT devices cases.