Reconfigurable Intelligent Surface Phase Tuning Without Channel Estimation
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Solution Overview
Problem
The existing signal optimization methods for reconfigurable intelligent surfaces (RIS) in 6G communication systems are inefficient due to the need for complex channel estimation and additional communication costs, which increase hardware demands and reduce signal quality.
Innovation Solution
A method for signal optimization between user equipment and RIS that involves a phase combination optimization process, including current performance generation, evaluation, and real-time adjustment of phase combinations to ensure performance indicators meet preset thresholds, using a neighboring phase adjusting method to reduce calculations and maintain better signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the signal channel analysis method is used for RIS control, then the RIS can provide additional signal paths, but the hardware demands and computational complexity increase
Solution Approach 1:
The patent extracts and eliminates the base station from the phase optimization process. Instead of requiring the base station to perform channel estimation and calculate optimal phase combinations (which increases hardware and computational demands), the method enables user equipment to directly measure signal strength and determine optimal phase combinations locally, removing the need for complex base station processing while maintaining signal quality improvement
Solution Approach 2:
The patent implements self-service by enabling user equipment to autonomously perform phase combination optimization without base station intervention. The user equipment measures signal strength directly, determines the optimal phase combination locally, and feeds back only the result to the base station, allowing the system to self-optimize without requiring complex base station hardware or processing capabilities
2Reliability
If the signal channel analysis method is used for RIS control, then the RIS can provide additional signal paths, but the computational complexity increases
Solution Approach 1:
The patent removes the computationally intensive channel estimation and phase optimization calculations from the base station. By enabling user equipment to perform these measurements and calculations locally using simple signal strength measurement, the method extracts the computational burden from the base station while achieving the same signal quality improvement through much simpler local processing
Solution Approach 2:
The patent employs a simple, low-cost measurement approach where user equipment performs straightforward signal strength measurements rather than complex channel estimations. This disposable-like simple measurement method replaces expensive, complex computational processes at the base station, achieving optimization through inexpensive local measurements that don't require sophisticated algorithms or repeated complex calculations
3Reliability
If the signal channel analysis method is used for RIS control, then the RIS can provide additional signal paths, but extra communication cost is increased
Solution Approach 1:
The patent extracts the communication overhead by removing the need for extensive uplink feedback transmissions to the base station. Instead of requiring user equipment to send detailed channel state information or multiple measurement reports, the method only requires a single feedback transmission of the optimal phase combination index, dramatically reducing communication cost while maintaining signal quality improvement
Solution Approach 2:
The patent applies partial action by having user equipment perform only the essential signal strength measurement and phase combination determination without requiring full channel estimation or multiple iterative measurements. This partial measurement approach achieves sufficient optimization results with minimal communication overhead, avoiding excessive communication actions that would increase energy consumption
Data Source
AI summary
A method for signal optimization between a user equipment and a reconfigurable intelligence surface includes a phase optimization step having: generating at least one modified phase combination in the state that a performance index of a current phase combination is smaller than a preset performance threshold value; evaluating whether a corresponding performance index of the modified phase combination is not smaller than the preset performance threshold value or evaluating whether the performance index of the modified phase combination is larger than the corresponding performance index of the current phase combination, to determine an optimized phase combination, enabling a corresponding performance index to be not smaller than the preset performance threshold value or not smaller than the performance index of any modified phase combination in the phase optimization step; and replacing the current phase combination by the optimized phase combination to form an updated current phase combination.


