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Beamforming for Multi-Bit Intelligent Reflecting Surface with Phase Shift-Dependent Power Consumption Model.

Huimin Zhang¹, Qiucen Wu¹, Yu Zhu¹

¹School of Information Science and Technology, Fudan University, Shanghai 200433, China.

Sensors (Basel, Switzerland)

|September 28, 2024

Summary

This summary is machine-generated.

This study addresses the dynamic power consumption of intelligent reflecting surfaces (IRS) in wireless systems. New algorithms significantly reduce power usage in multi-bit IRS-aided systems by optimizing beamforming.

Keywords:

beamforming optimization generalized Benders decomposition intelligent reflecting surface phase shift-dependent power consumption

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Area of Science:

Wireless Communication
Signal Processing
Information Theory

Background:

Intelligent Reflecting Surfaces (IRS) are gaining attention for channel reconfiguration.
Existing research often overlooks the dynamic power consumption of IRS, especially with multi-bit phase shifts.
The nonlinear and implicit nature of phase shift-dependent power consumption (PS-DPC) in multi-bit IRS presents a significant challenge.

Purpose of the Study:

To investigate beamforming optimization for multi-bit IRS-aided systems considering practical PS-DPC.
The primary goal is to minimize the overall system power consumption.
To develop effective algorithms for both single-user and multi-user scenarios.

Main Methods:

Introduced a selection matrix to explicitly model IRS power consumption and phase shift matrices.
Proposed a generalized Benders decomposition-based algorithm for single-user beamforming optimization.
Developed coordinate descent-based and genetic algorithms for multi-user beamforming optimization.

Main Results:

The proposed selection matrix effectively handles the implicit and nonlinear PS-DPC model.
The generalized Benders decomposition algorithm efficiently solves the single-user optimization problem.
The coordinate descent and genetic algorithms demonstrate effectiveness in the multi-user context.

Conclusions:

The developed algorithms significantly reduce power consumption in multi-bit IRS-aided systems.
This work provides practical solutions for energy-efficient IRS deployment.
The findings contribute to the advancement of low-power wireless communication systems.