IRS-Based CLI Measurement for Wireless Interference Mitigation
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Solution Overview
Problem
Cross link interference (CLI) occurs in wireless communication systems when base station and user equipment transmissions overlap, causing interference that existing technologies struggle to accurately measure and mitigate.
Innovation Solution
Utilizing intelligent reflective surfaces (IRS) to reflect and configure transmission signals with specific coefficients to mitigate CLI by enhancing measurement accuracy and reducing interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CLI measurement methods are used, then measurement process is simple, but measurement accuracy is insufficient
Solution Approach 1:
An intelligent reflective surface (IRS) is introduced as an intermediary component between the transmitting and receiving antennas. The IRS reflects CLI measurements through its reflective elements, enabling indirect measurement paths that provide more accurate interference characterization without requiring direct antenna modifications or complex measurement equipment.
Solution Approach 2:
The measurement system transitions from traditional direct-path measurements to multi-dimensional measurements by incorporating reflected paths through the IRS. This adds spatial dimensionality to the measurement approach, allowing characterization of CLI from multiple angles and paths, thereby improving measurement accuracy.
2Object-affected harmful factors
If IRS coefficients are adjusted to mitigate interference, then CLI mitigation improves, but system complexity increases
Solution Approach 1:
The system implements a feedback mechanism where CLI measurements obtained through the IRS are used to determine optimal IRS coefficients. These coefficients are then applied to configure the reflective elements, creating a closed-loop system that automatically adjusts to mitigate interference while maintaining manageable complexity through measurement-guided configuration.
Solution Approach 2:
The IRS coefficients are dynamically adjusted based on measured CLI characteristics. By changing the reflection properties of the IRS elements (amplitude and phase parameters), the system adapts to different interference scenarios, optimizing mitigation performance without requiring complete system redesign.
3Reliability
If multiple CLI measurement resources are used, then measurement comprehensiveness improves, but processing complexity increases
Solution Approach 1:
The CLI measurement process is segmented into multiple independent measurement resources, each targeting specific interference characteristics or spatial directions. The IRS is divided into multiple reflective elements that can be independently controlled, allowing systematic measurement and processing of different interference components separately, which improves reliability while managing complexity through modular processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves CLI measurement accuracy and network throughput by dynamically adjusting signal phases and amplitudes, thereby minimizing interference and optimizing communication quality.
Implementation Method 1
receiving, from an intelligent reflecting surface (IRS), a reflected transmission of the message originating from the transmission source
Implementation Method 2
the reflected transmission of the message is reflected by the IRS based on one or more IRS coefficients
Data Source
AI summary
A method of wireless communication at a user equipment (UE) is provided. The method includes receiving, from a scheduling entity, an indication of at least two different cross link interference (CLI) measurement resources of a message for transmission from a transmission source. The method also includes receiving, from an intelligent reflecting surface (IRS), a reflected transmission of the message originating from the transmission source, wherein the reflected transmission of the message is reflected by the IRS based on one or more IRS coefficients. The method further includes determining one or more CLI measurement parameters to generate a report. The method includes transmitting, to the scheduling entity, a CLI measurement report. The method also includes receiving, from the IRS, another reflected transmission of the message originating from the transmission source using one or more configured IRS coefficients that are configured based on the CLI measurement report.