User rate enhancement method for an intelligent reflecting surface assisted fttr system

By using an intelligent reflector-assisted FTTR system, the signal-to-interference-plus-noise ratio (SIR) is optimized by utilizing the reflection phase matrix and beamforming vector of the IRS. This solves the problem of user rate degradation caused by AP interference in the FTTR system, thereby improving communication rate and suppressing interference.

CN116599613BActive Publication Date: 2026-07-24HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG UNIV OF SCI & TECH
Filing Date
2023-06-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In FTTR systems, the dense deployment of AP nodes leads to interference between multiple APs on the same frequency band, causing user rates to drop sharply at the edge of the service area and affecting the effectiveness of network services.

Method used

By using a smart reflector-assisted FTTR system, the reflection phase matrix of the IRS and the beamforming vectors of the target AP and interfering AP are utilized to optimize the signal-to-interference-plus-noise ratio of the target user, maximize the rate of the target user, determine the optimal reflection phase matrix of the IRS, and achieve passive beamforming.

Benefits of technology

It effectively enhances the communication rate of target users, reduces interference, enables targeted services to target users, and reduces the time complexity of joint control of active and passive beams, enabling real-time realization of IRS-assisted communication.

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Abstract

The application discloses a user rate enhancement method of an intelligent reflecting surface assisted FTTR system, and belongs to the field of wireless communication.The method comprises the following steps: S1, determining the signal-to-interference-and-noise ratio of a target user according to the beamforming vectors of a target AP and each interference AP and the reflection phase matrix of an IRS, so as to represent the rate of the target user; and S2, maximizing the rate of the target user to obtain the optimal reflection phase matrix of the IRS.The method takes the rate of the target user as a target function, simultaneously considers the enhancement of the target user signal and the suppression of the interference signal by the intelligent reflecting surface, and adjusts the weight of the reflection unit of the IRS to enhance the user rate.The intelligent reflecting surface becomes a competitive communication resource, thereby greatly reducing the complexity of active and passive beam joint adjustment and greatly improving the achievable rate of the target user.The passive beam of the intelligent reflecting surface is quickly calculated through a Riemannian manifold gradient algorithm.
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