RIS Frequency Segmentation for Large-Bandwidth Beamforming
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing large bandwidths due to variability in amplitude and phase coefficients of reconfigurable intelligent surfaces (RIS) across wide frequency ranges, leading to inconsistent gain and poor throughput.
Innovation Solution
The technique involves dividing a single bandwidth into frequency domain segments, each associated with a specific configuration of reflective elements, and time division multiplexing these configurations to optimize RIS beamforming, allowing for efficient communication with multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single configuration of reflective elements is used across a large bandwidth, then device complexity is reduced, but amplitude and phase coefficient variability increases leading to poor throughput
Solution Approach 1:
The bandwidth is divided into multiple frequency domain segments, with each segment associated with a specific reflective element configuration. This segmentation allows the system to optimize performance in each frequency segment while managing overall complexity through structured division of the bandwidth resource.
Solution Approach 2:
The reflective element configurations are dynamically switched across different frequency domain segments using time division multiplexing. This dynamic approach enables the RIS to adapt its configuration to match the characteristics of each frequency segment, improving amplitude and phase coefficient consistency while maintaining manageable device complexity through systematic configuration management.
2Reliability
If multiple configurations of reflective elements are used across frequency segments, then amplitude and phase coefficient variability is reduced improving gain, but device complexity increases
Solution Approach 1:
Different configurations of reflective elements are applied to different frequency domain segments based on local frequency characteristics. This local optimization ensures that each segment receives a configuration tailored to its specific amplitude and phase requirements, improving gain consistency while the overall system manages complexity through structured local adaptations rather than global complexity.
Solution Approach 2:
The system changes the configuration parameters of reflective elements according to the frequency domain segment being served. By adjusting parameters such as amplitude and phase coefficients to match each frequency segment's characteristics, the system achieves consistent gain across the bandwidth while managing complexity through systematic parameter adaptation rather than arbitrary complexity.
3Productivity
If frequency domain segmentation is implemented, then communication throughput is improved through optimized beamforming, but control signaling overhead increases
Solution Approach 1:
The network entity configures the RIS with multiple reflective element configurations in advance, associating each configuration with a specific frequency domain segment. This preliminary configuration reduces the need for frequent real-time control signaling during operation, as the RIS can autonomously switch between pre-configured segments based on frequency allocation, thereby improving throughput while minimizing control overhead.
Solution Approach 2:
The system employs periodic time division multiplexing to switch between different frequency domain segments and their associated configurations. This periodic structure allows for efficient resource allocation and reduces control signaling overhead by establishing regular patterns of configuration switching that can be managed with minimal ongoing control messages, thus improving throughput while controlling information loss.
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
This approach enhances communication throughput by optimizing amplitude and phase coefficients, enabling effective large-bandwidth communication with reduced variability and improved gain.
Implementation Method 1
a reconfigurable intelligent surface (RIS) may be used to reflect a signal from a network entity to a user equipment (UE) or from a UE to a network entity
Data Source
AI summary
Methods, systems, and devices for large-bandwidth reconfigurable intelligent surface communication (RIS) are described. A network entity (NE) may transmit a first control message to the RIS indicating a frequency and a bandwidth for a carrier of a communication signal to be used to communicate with one or more users. The RIS may transmit to the NE a second control message identifying a quantity for multiple frequency domain segments for the bandwidth of the communication signal. The NE may then communicate a communication signal with the one or more users via the RIS, for each frequency domain segment of the multiple frequency domain segments, on the frequency domain segment during a time occasion of multiple time occasions, each time occasion of the multiple time occasions corresponding to a respective frequency domain segment of the multiple frequency domain segments.