IRS Phase Shift Compression for Low-Overhead Beamforming
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Solution Overview
Problem
Existing beamforming methods in IRS-assisted communication systems suffer from spectrum efficiency loss due to overhead in phase shift configuration, which is not adequately addressed by current technologies.
Innovation Solution
A method involving decorrelation processing, followed by compression and quantization of phase shift vectors using multiple network models, to reduce the scale and overhead of phase shift configurations sent to the IRS, thereby optimizing beamforming efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network device sends the complete initial reflection phase shift vector to the IRS for beamforming configuration, then the beamforming performance is maintained, but the overhead and rate performance loss increase
Solution Approach 1:
The patent extracts only the essential phase shift information needed for beamforming by using a second network model to process the initial reflection phase shift vector. This extraction reduces the amount of data that needs to be transmitted to the IRS while preserving the critical beamforming parameters, thereby reducing overhead without significantly compromising beamforming performance.
Solution Approach 2:
The patent changes the parameter representation of the phase shift configuration by transforming the complete initial reflection phase shift vector into a compressed form through network model processing. This parameter transformation reduces the dimensionality and complexity of the configuration data sent to the IRS, reducing overhead while maintaining the essential beamforming characteristics.
2Productivity
If the scale of the reflection phase shift vector is reduced to decrease overhead, then the configuration efficiency improves, but the beamforming performance may be degraded
Solution Approach 1:
The patent introduces a second network model as an intermediary between the initial phase shift calculation and the IRS configuration. This intermediary processes the complete phase shift information and extracts the essential components needed for beamforming, enabling efficient compression while preserving performance through intelligent information selection rather than simple truncation.
Solution Approach 2:
The patent employs feedback mechanisms where the network model is trained and optimized based on the relationship between the compressed phase shift vectors and the actual beamforming performance. This feedback loop ensures that the reduced-scale vectors maintain the necessary information for effective beamforming by continuously optimizing the compression process.
Data Source
AI summary
A method for sending a phase shift configuration of an intelligent reflecting surface (IRS), performed by a network device, includes: receiving a pilot signal sent by a terminal; performing a decorrelation processing on the pilot signal; obtaining an initial reflection phase shift vector by inputting a decorrelated pilot signal into a first network model; obtaining a reflection phase shift vector to be configured by inputting the initial reflection phase shift vector into a second network model, wherein a scale of the reflection phase shift vector to be configured is smaller than a scale of the initial reflection phase shift vector; and sending the reflection phase shift vector to be configured to the IRS.