Massive Wireless Energy Transfer without Channel State Information via Imperfect Intelligent Reflecting Surfaces

TL;DR

This paper introduces a CSI-free method for massive wireless energy transfer using IRS that overcomes channel estimation challenges, enhances energy delivery, and is practical for large-scale IoT deployments.

Contribution

It proposes a novel CSI-free scheme that maximizes energy transfer with imperfect IRS, avoiding pilot overhead and hardware modifications, suitable for large-scale IoT applications.

Findings

Outperforms CSI-based schemes in large-scale ER scenarios

Effective energy transfer without channel estimation overhead

Robust performance despite IRS imperfections

Abstract

Intelligent Reflecting Surface (IRS) utilizes low-cost, passive reflecting elements to enhance the passive beam gain, improve Wireless Energy Transfer (WET) efficiency, and enable its deployment for numerous Internet of Things (IoT) devices. However, the increasing number of IRS elements presents considerable channel estimation challenges. This is due to the lack of active Radio Frequency (RF) chains in an IRS, while pilot overhead becomes intolerable. To address this issue, we propose a Channel State Information (CSI)-free scheme that maximizes received energy in a specific direction and covers the entire space through phased beam rotation. Furthermore, we take into account the impact of an imperfect IRS and meticulously design the active precoder and IRS reflecting phase shift to mitigate its effects. Our proposed technique does not alter the existing IRS hardware architecture, allowing for easy implementation in the current system, and enabling access or removal of any Energy Receivers (ERs) without additional cost. Numerical results illustrate the efficacy of our CSI-free scheme in facilitating large-scale IRS without compromising performance due to excessive pilot overhead. Furthermore, our scheme outperforms the CSI-based counterpart in scenarios involving large-scale ERs, making it a promising solution in the era of IoT.