Intelligent reflecting surface robust beam forming method and system

Abstract

The invention provides an intelligent reflector robust beam forming method and system, and the method comprises the steps: building an uncertainty model of a channel based on the estimation error of an uncertainty channel; constructing a power budget constraint of the intelligent reflecting surface and a signal-to-noise ratio constraint of the receiver according to the uncertainty model, and constructing a beam forming optimization model of an uncertainty channel; and solving the beamforming optimization model according to an iterative algorithm, and jointly optimizing the active beamforming of the base station and the reflection coefficient of the intelligent reflecting surface to minimize the transmitting power of the base station. Based on the channel estimation error, the signal-to-noise ratio requirement of the most uncertain state of the receiver and the power budget constraint under the worst condition of the intelligent reflecting surface are considered, a robust beamforming optimization model is established, the optimization model is solved by using an iterative algorithm, active beamforming and IRS reflection coefficients are jointly optimized, and the optimal beamformingis realized. The transmission power of a multiple-input single-output (MISO) system is minimized.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a robust beamforming method and system for an intelligent reflector. Background technique [0002] The upcoming fifth-generation (5G) wireless network has achieved the goal of a 1,000-fold increase in network capacity and universal wireless connectivity of at least 100 billion devices. However, the required high complexity and hardware cost and increased energy consumption in complex and uncertain environments still need to be solved urgently. Therefore, it is of great significance to study how to find innovative, energy-efficient and cost-effective solutions for wireless networks. 5G physical layer technologies are generally able to adapt to spatially and temporally varying wireless environments, but signal propagation is inherently random and largely uncontrollable. Based on the above reasons, intelligent reflective surfaces (IRS) are considered as a promising ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a smart reflector robust beamforming method and system to solve the technical problem that the wireless communication system is affected by the uncertainty of the channel.

Images