IRS-Assisted RF-powered IoT Networks:System Modeling and Performance Analysis

by   HongGuang Sun, et al.
Xiamen University
Singapore University of Technology and Design
Xidian University
NetEase, Inc

Emerged as a promising solution for future wireless communication systems, intelligent reflecting surface (IRS) is capable of reconfiguring the wireless propagation environment by adjusting the phase-shift of a large number of reflecting elements. To quantify the gain achieved by IRSs in the radio frequency (RF) powered Internet of Things (IoT) networks, in this work, we consider an IRS-assisted cellular-based RFpowered IoT network, where the cellular base stations (BSs) broadcast energy signal to IoT devices for energy harvesting (EH) in the charging stage, which is utilized to support the uplink (UL) transmissions in the subsequent UL stage. With tools from stochastic geometry, we first derive the distributions of the average signal power and interference power which are then used to obtain the energy coverage probability, UL coverage probability, overall coverage probability, spatial throughput and power efficiency, respectively. With the proposed analytical framework, we finally evaluate the effect on network performance of key system parameters, such as IRS density, IRS reflecting element number, charging stage ratio, etc. Compared with the conventional RF-powered IoT network, IRS passive beamforming brings the same level of enhancement in both energy coverage and UL coverage, leading to the unchanged optimal charging stage ratio when maximizing spatial throughput.


page 1

page 2

page 3

page 4


Understanding the Gain of Deploying IRSs in Large-scale Heterogeneous Cellular Networks

As the superior improvement on wireless network coverage, spectrum effic...

Joint Energy and SINR Coverage in Spatially Clustered RF-powered IoT Network

Owing to the ubiquitous availability of radio-frequency (RF) signals, RF...

Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks

Using stochastic geometry tools, we develop a comprehensive framework to...

Grant-Free Opportunistic Uplink Transmission in Wireless-powered IoT: A Spatio-temporal Model

Ambient radio frequency (RF) energy harvesting is widely promoted as an ...

Intelligent Reflecting Surfaces for the Enhancement of 6G Internet of Things

With the advancement of sensing technologies over the years, it has beco...

Interference and Coverage Analysis in Coexisting RF and Dense TeraHertz Wireless Networks

This paper develops a stochastic geometry framework to characterize the ...

Please sign up or login with your details

Forgot password? Click here to reset