Secure Energy Efficiency: Power Allocation and Outage Analysis for SWIPT-in-DAS based IoT

TL;DR

This paper investigates secure energy efficiency in SWIPT-enabled distributed antenna systems for IoT, analyzing both perfect and imperfect channel knowledge, and introduces outage probability analysis for the first time.

Contribution

It provides the first outage probability analysis of secure energy efficiency in SWIPT-in-DAS systems considering practical CSI limitations.

Findings

Derived closed-form outage probability expression for SEE.

Analyzed impact of transmit power, antenna count, and PS ratio.

Numerical results highlight system performance under various parameters.

Abstract

In this paper we study secure energy efficiency (SEE) for simultaneous wireless information and power transfer (SWIPT) in a distributed antenna system (DAS) based IoT network. We consider a system in which both legitimate users (Bobs) and eavesdroppers (Eves) have power splitting (PS) receivers to simultaneously decode information and harvest energy from the received signal. When the channel state information (CSI) is known at the transmitter, we analyze the effect of an energy harvesting eavesdropper (EHE) over the maximization of SEE of the system. Next, considering the fact that perfect CSI is hard to achieve in practice, we characterize the system performance in terms of the outage probability of SEE. For the given SWIPT-in-DAS setup, we derive the closed form expression for the outage probability of SEE and with the help of numerical results, we study the effect of transmit power levels, number of distributed antenna (DA) ports and the PS ratio of devices. To the best of our knowledge, this is the first attempt to define the outage probability of SEE for SWIPT-in-DAS.