Signal transmission method based on irs phase rotation to maximize received signal-to-noise ratio

Abstract

The present invention provides a signal transmission method based on the IRS phase rotation angle that maximizes the received signal-to-noise ratio, including the steps: the sender modulates the information bits to obtain a modulated signal; The principle of signal-to-noise ratio generates the optimal phase rotation angle and adjusts the phase angle of the smart reflector through the controller; the sender uses the optimal beamforming scheme to process the modulated signal, and then transmits it through all transmitting antennas. In IRS-assisted MISO system transmission, compared with the traditional phase rotation design scheme, the present invention provides a new iterative calculation method for optimally maximizing the receiving signal-to-noise ratio, which can stably converge to the global optimal solution, and has Lower computational complexity. In practical applications, only certain phase units on the IRS may be adjustable, and this method can still find the optimal solution in this case, which has good flexibility.

Description

technical field [0001] The present invention relates to wireless communication physical layer security technology, in particular to Multiple Input Single Output (Multiple Input Single Output, MISO) technology and Intelligent Reflecting Surface (Intelligent Reflecting Surface, IRS) technology. Background technique [0002] As a 6G wireless transmission solution that improves spectrum and energy efficiency, the intelligent reflector IRS has multiple passive reflection units that can reflect and adjust the phase of the signal. Compared with the traditional scheme of increasing the antenna array, the IRS technique can provide similar multipath gain while avoiding expensive hardware requirements. At the same time, the cheap IRS has flexible usage scenarios and can be covered on the surface of outdoor buildings and indoor walls. Therefore, under the trend of pursuing high spectrum efficiency, high energy efficiency and low bit error rate in the future, IRS will become a wireless ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the optimal phase rotation cannot be stably obtained with a low-complexity algorithm in the IRS-MISO system, the present invention provides a low-complexity Optimal Iteration (Optimal Iteration, OI) calculation, which has a low complexity , at the same time, it can stably obtain the optimal phase rotation design, and has a very flexible usage scenario

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