RIS Element Weight Configuration for Full-Duplex Beam Optimization
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Solution Overview
Problem
Conventional reconfigurable intelligent surfaces (RIS) systems are unable to provide full-duplex communications between network nodes, limiting their ability to optimize uplink and downlink beams separately or jointly, and perform self-channel estimation.
Innovation Solution
The RIS system is configured to receive an indication of full-duplex operations from network nodes, allowing it to update and adjust element weights for optimal UL and DL beam configurations, and perform self-channel estimation by using a known reflection matrix for training, enabling joint or separate beam training and refinement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional RIS systems are used, then the system structure is simple, but full-duplex communications cannot be provided and beam optimization is limited
Solution Approach 1:
The RIS system dynamically configures element weights based on communication mode (full-duplex or half-duplex). The controller adjusts the reflection coefficients of RIS elements in real-time according to received indication messages, enabling the system to adapt between different operational modes and optimize beamforming for full-duplex communications.
Solution Approach 2:
The patent changes the operational parameters of the RIS system by introducing configurable element weights and reflection coefficients. By modifying these parameters based on the communication mode indication, the system enables full-duplex operation without fundamental structural changes, resolving the contradiction between capability enhancement and complexity increase.
2Reliability
If separate UL and DL beam optimization is performed, then communication quality improves, but system complexity and training overhead increase
Solution Approach 1:
The beam training process is segmented into separate uplink and downlink components. The network node can indicate whether joint or separate beam training is performed, allowing the RIS to optimize UL and DL beams independently when needed, or jointly when resources are constrained. This segmentation enables flexible trade-offs between communication quality and training overhead.
Solution Approach 2:
The system dynamically selects between joint and separate beam training modes based on network conditions and requirements. The controller adapts the beam training approach by processing different indication messages from the network node, enabling optimization of communication quality while managing training complexity according to actual operational needs.
3Object-generated harmful factors
If self-channel estimation is performed, then interference reduction improves, but measurement and detection difficulty increases
Solution Approach 1:
The RIS system acts as an intermediary for self-channel estimation. By using a known reflection matrix at the RIS, the network node can estimate the channel through the RIS without direct measurement of the full channel state. This intermediary approach simplifies the measurement process while enabling effective interference reduction through accurate channel knowledge.
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 configuration enables efficient full-duplex communications by optimizing beam weights and performing self-channel estimation, improving communication quality and reducing interference in RIS systems.
Implementation Method 1
configuring weights of an RIS surface of the RIS system in response to the indication; reflecting the full-duplex communications between the first network node and the second network node
Data Source
AI summary
Techniques for configuring reconfigurable intelligent surfaces serving full-duplex nodes are provided. In an example, a first network node such as a base station or a user equipment (UE) may determine to communicate with a second network node (e.g., UE or base station) via a reconfigurable intelligent surface (RIS) system using full-duplex communications. The first network node may transmit, to an RIS controller of the RIS system, an indication that the first network node will communicate with the second network node using the full-duplex communications.


