RIS Codebook Updating Using Mobility Information for Stable Beam Coverage
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Solution Overview
Problem
In scenarios where reconfigurable intelligent surfaces (RIS) are deployed on mobile vehicles, frequent codebook updates lead to increased measurement overhead, signaling overhead, delayed updating, and low accuracy due to the inability to accurately measure spatial relationships between the RIS and station antennas, resulting in fluctuating signal quality for user equipment.
Innovation Solution
A mobility management method that involves acquiring mobility information of a first node and determining a target codebook based on a preset codebook table, reducing the need for real-time measurements and improving the accuracy and speed of codebook updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequent codebook updates are performed to track mobility of RIS on mobile vehicles, then the accuracy of beam coverage is improved, but measurement overhead and signaling overhead increase
Solution Approach 1:
The system pre-acquires mobility information (velocity, trajectory) of the RIS before codebook updates are needed. This preliminary action allows the network to predict future positions and pre-calculate appropriate codebooks, reducing the frequency of real-time measurements and signaling exchanges while maintaining accurate beam coverage.
Solution Approach 2:
The RIS uses its own mobility information (obtained from onboard sensors or GPS) to autonomously determine when and how to update its codebook, rather than relying on frequent network-directed measurements. This self-service approach reduces measurement overhead by eliminating redundant network-side measurement procedures.
2Measurement precision
If real-time measurements are performed to update codebooks for mobile RIS, then beam coverage accuracy is improved, but time delay in codebook updating increases
Solution Approach 1:
The system performs preliminary acquisition of mobility information and pre-calculates codebook update strategies before real-time beamforming is needed. By having mobility data and codebook candidates ready in advance, the system eliminates measurement and processing delays that would otherwise occur during critical transmission moments.
Solution Approach 2:
The codebook update mechanism transitions from static, periodic updates to dynamic, event-driven updates based on actual mobility conditions. The system adaptively determines update timing based on velocity changes and trajectory variations, performing updates only when necessary to maintain accuracy, thus reducing overall time delays.
3Quantity of substance
If codebook updates are delayed to reduce signaling overhead, then measurement and signaling overhead are reduced, but accuracy of codebook updating deteriorates
Solution Approach 1:
The RIS autonomously monitors its own mobility conditions and independently determines when codebook updates are necessary, eliminating the need for frequent network-directed measurement procedures. This self-service mechanism reduces signaling overhead while maintaining accuracy by updating only when actual mobility changes affect beam coverage.
Solution Approach 2:
The system replaces the traditional mechanical measurement system (network-directed signal exchanges for codebook acquisition) with an information-based system that uses pre-acquired mobility data to calculate codebooks. This substitution eliminates the need for repeated physical measurements while maintaining codebook accuracy through predictive calculations.
4Stability of the object's composition
If continuous codebook updates are performed for mobile RIS, then beam coverage stability is improved, but device complexity increases
Solution Approach 1:
The system pre-acquires mobility information and pre-calculates codebook update strategies, creating a structured framework that simplifies real-time operations. By having mobility data and update plans ready in advance, the system reduces the complexity of real-time decision-making while maintaining stable beam coverage through predictable, pre-planned updates.
Data Source
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AI summary
The present disclosure provides a mobility management method, a communication apparatus, and a storage medium. The method comprises: acquiring mobility information of a first node; and determining a codebook updating strategy of the first node on the basis of the mobility information of the first node.